Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full disclosure burden and does so thoroughly. It reveals the pinning mechanism, the default-write failure when unpinned, refusal of already-claimed games, and the recommended next step—all critical behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short sentences, each earning its place: purpose, input flexibility, failure/refusal behavior, and follow-up guidance. Nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-parameter tool with no output schema and no annotations, the description covers the essential behaviors (ownership, default-write failure) and next steps. It feels entirely sufficient for an agent to use this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All three parameters already have clear schema descriptions (100% coverage), so the baseline is high. The description adds dimension by explaining why the game identifier matters (ownership/pinning) and clarifying when isUniverseId is needed, supplementing rather than repeating the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource ('Put a Roblox game on this account') and clarifies the outcome—making the game actionable by the rest of the toolset. It clearly distinguishes itself from the channel/ticket/thumbnail tools in the sibling list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides strong when-to-use context: it positions this as the setup step that must happen before other tools can act on a game, and it explicitly recommends following with check_permissions. It doesn't name a direct alternative to prefer instead, so it stops one step short of perfect guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full responsibility. It transparently describes the probe nature (non-destructive), enumerates what is checked, and discloses that results include reasons and fixes. It does not explicitly state the tool is read-only, but 'probed rather than assumed' strongly implies no side effects. Minor gap: no mention of rate limits or auth specifics, but not required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, information-dense sentence with a clear colon-list structure, followed by a second sentence with usage guidance. It is not overly verbose and front-loads the core purpose. Slightly long, but each element adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one parameter, no output schema), the description covers everything needed: what it checks, when to use it, and what the return includes (reasons and fixes). It is fully sufficient for an agent to decide when and how to invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%—the single parameter 'game' is described as 'Game name or universe id.' The description adds minimal extra semantics beyond reinforcing the scope ('one game'), but it does not introduce new details about the parameter. Baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: probing everything the key can do to one game, enumerating specific checks (analytics, upload/delete/swap, config, auto-swap, Discord). It distinguishes from siblings like get_game_info and get_auto_swap by focusing on permission capabilities rather than retrieving data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit guidance is given: 'Call this first when a write is about to happen, or when something failed and it is not obvious which credential was missing.' It also explains the benefit—every 'no' includes the reason and fix—making the tool's invocation clear and actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It reveals concrete side effects: 'renames its channel from 🟢-0007 to closed-0007 and greys the embed, so the sidebar stops showing it as live work.' This goes beyond simple 'close/reopen' and informs the user about channel naming and embed visuals. It also confirms equivalence to the Close button and /close-ticket, which sets expectations. Missing details like permission requirements or error handling, but the core behavior is well disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, each earning its place. It front-loads the primary purpose, then explains side effects, equivalence, and parameter naming. No redundant or vague statements. It is appropriately sized for the tool's complexity and provides a model of concise, informative writing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 4 parameters, no annotations, and no output schema, the description covers the key aspects: purpose, side effects, equivalence to existing UI, and ticket identification. It explains the 'reopen' boolean implicitly via 'open a closed one back up.' It does not discuss return values or error scenarios, but given the absence of an output schema and the straightforward nature of the operation, it is sufficiently complete. A small gap is not addressing prerequisites, but the mention of 'create_ticket' implies a prior creation step.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds value by clarifying the ticket parameter: 'Name the ticket by its number (0007, or just 7) or by the id create_ticket handed back.' This explains flexible input formats (number without leading zeros, or the id from create_ticket) that the schema does not fully convey. The 'just 7' alias is a useful addition, making the parameter semantics clearer than schema alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Close a ticket once it is done, or open a closed one back up.' This clearly states the primary action and scope, distinguishing it from sibling tools like create_ticket (creates) and set_ticket_stage (changes stage). The reference to the Close button and /close-ticket further anchors its purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear context for when to use: 'once it is done' for closing, and mentions reopening. It also equates the tool to existing UI/Discord commands, which signals the typical use case. However, it does not explicitly state when not to use it (e.g., for changing stage or listing tickets), so it lacks explicit exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses key behaviors: enabling schedules the next run, clears a self-disabled flag, and that only passed fields are changed (partial updates). It also warns about the empty-queue case where the rotation runs but does nothing. No annotations exist, so this textual transparency is valuable and goes beyond a generic description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise yet information-dense. It uses four short sentences covering purpose, side effects, update semantics, and a cautionary note. No filler words; every sentence adds value. The structure is logical: what it does, what happens on enable, how updates work, and a warning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a configuration tool, it covers the essential aspects: the primary action (toggle), side effects (scheduling, flag clearing), partial updates, and a notable edge case (empty queue). It doesn't mention potential errors or return values, but given the lack of an output schema and simple nature, it's adequately complete. A minor gap is not stating what happens when disabling, but that's likely intuitive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides descriptions for each parameterlied. The description adds meaningful semantics: 'Every field is optional: only what is passed changes' clarifies the update behavior, and the queue dependency (empty queue yields a no-op) is essential for correct usage. This goes beyond the per-parameter schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: to turn automatic thumbnail rotation on/off and set its rules. It identifies the target (a game's auto-swap) and the major actions (enable/disable, configure parameters). It also distinguishes it from related tools like get_auto_swap (which would be used to read settings).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides concrete usage context: it explains when to use the tool (to modify auto-swap settings) and warns to check get_queue before enabling, implying a prerequisite. It doesn't explicitly contrast with get_auto_swap for reading, but the context is clear enough for an agent to infer the appropriate use case.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full behavioral disclosure burden. It reveals meaningful side effects: tickets route to the channel, the site's View channel button follows, duplicate names are idempotent rather than creating a second channel, and the bot requires Manage Channels permission. It even describes the failure mode and remediation advice, which is excellent transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three dense sentences with the core action front-loaded in the first phrase. Every clause contributes operational value: scope, game linkage, idempotency, permission requirements, and failure recovery. There is no filler or repetition of schema content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a side-effectful channel-creation tool with no output schema, the description is remarkably complete. It covers what the tool does, when to use it, what changes happen as a result, duplicate handling, permissions, and expected failure behavior. The parameter schema handles the rest, so no critical gap remains.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds extra semantic value by explaining that names are normalized into Discord-acceptable slugs with a concrete example, that category falls back to top level when omitted, and that passing a game links the channel to that game. This goes beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Make a text channel in the studio Discord server'. It immediately scopes the tool to 'one per game or per artist' and explains that passing a game both creates the channel and completes game setup. This clearly distinguishes it from sibling tools like link_channel and send_channel_message.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context for when to use the tool: creating a text channel for a game or artist, and using a game argument to link the channel during game setup. It also explains repeated calls reuse an existing channel. However, it does not explicitly name alternative tools or state when not to use this tool, so it stops short of full exclusionary guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full transparency burden and does so well: it discloses channel creation/naming, category filing, embed/button behavior, closing rename behavior, and the paid-on-Paid-click state change. This goes far beyond what the schema alone reveals.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose and every sentence earns its place. The behavioral details are dense but not padded, and the payment guidance is compact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 9-parameter, no-annotation, no-output-schema tool, the description is remarkably complete: it covers purpose, side effects, conditional payment usage, and ticket lifecycle. It does not explicitly state a return value or success response, but the operational details are sufficient given the rich schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds meaningful usage semantics by linking type 'payment' with amountUsd and explaining the paid lifecycle. It also clarifies the title's role as the embed heading. This modest addition raises it above the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Opens with a specific verb+resource: 'Open a ticket on a game' and explicitly ties it to the /ticket Discord command. The description clearly distinguishes this creation/opening action from siblings like close_ticket, set_ticket_stage, and list_tickets.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear contextual guidance such as 'Use type payment with amountUsd to ask for money' and references the /ticket command as the equivalent. It does not explicitly name alternatives/exclusions, but the sibling names make the main when-to-use distinction obvious.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses critical behavioral traits: permanent deletion with no undo, and loss of analytics history. Since no annotations are provided, it carries the full burden and does so effectively, though it could mention potential authorization requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is packed with necessary information in just three sentences, with critical warnings front-loaded. No extraneous words, making it highly efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive tool with no annotations and no output schema, the description covers the essential context: what it does, when to use it, and consequences. It could add a note about required permissions, but overall it is sufficiently complete for a simple two-parameter tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents both parameters. The description adds context by referencing the source of the 'id' parameter ('from get_thumbnails') but does not add extra meaning beyond that, so a baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: permanently remove a thumbnail from a Roblox game. It also distinguishes itself from related operations like set_active_thumbnails, making it highly specific and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use this tool versus the alternative (set_active_thumbnails with mode 'remove'), and includes when not to use it ('Only reach for this when the image should not exist on the game at all'), providing clear guidance for the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does well by disclosing that the PDF is written to the local machine, images are fetched and embedded, and ordering is by QPTR. It also warns about latency. It doesn't mention return values or overwrite behavior, but the main side effects and performance characteristics are covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no filler. The first sentence front-loads the action, output, ordering, and audience; the second adds a necessary latency caveat. Every part earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a file-export tool with four parameters and no output schema, the description covers the key behavioral elements: local output, asset types, ordering, shareable use case, and expected runtime. It could mention what happens when outputPath is omitted, but the schema already documents that the path is returned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the param semantics are fully documented in the schema itself. The description adds context about output being a PDF and ordering, but doesn't elaborate on range, outputPath, or includeInactive beyond what the schema already states, earning the baseline score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: renders a game's thumbnails and figures into a PDF, ordered by QPTR. It also distinguishes itself from the sibling tool get_thumbnails by calling itself the 'shareable version,' which clearly identifies its output and purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear usage context: use this when you need a PDF to send to a client or artist, implying get_thumbnails is the alternative for non-PDF needs. It also sets expectations with 'this takes a few seconds,' though it does not explicitly list when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full disclosure burden. It reveals key side effects (writes to a file, saves to history, can publish to Roblox), the enhancement pipeline, and the dependency on at least one reference image. However, it omits operational details like error behavior, rate limits, or asynchronous execution, making it not fully comprehensive but still quite transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded: the first sentence states the core action, followed by behavioral details and workflow guidance. Each sentence contributes meaning without redundancy, perfectly sized for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 10 parameters, no output schema, and no annotations, the description covers all critical aspects: purpose, side effects, reference requirement, enhancement behavior, publish option, and a direct alternative. It is highly complete for an agent to select and invoke the tool correctly, with only minor missing details like return format (partially covered by mentioning temp file path).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are well-documented. The description adds value by clarifying that despite schema not requiring references, at least one is needed, and explaining the purpose of enhance (style guide rewriting). It also contextualizes primaryIndex and outputPath, enriching the schema's dry definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Make a new thumbnail image with the site's AI pipeline' and differentiates it from siblings by explicitly contrasting with upload_thumbnail (for publishing) and mentioning history saving. It is specific about the resource (thumbnail image) and the operation (generate), making it unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance: explains when to use publish (only when agreed on) and advises to generate, look, then call upload_thumbnail otherwise. Also mentions the style-guide rewriting behavior and the reference-image requirement, giving clear context for when to use this tool versus alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It reveals that the tool reports why a game turned off, which is a behavioral outcome, but does not explicitly state that the operation is read-only or has no side effects. While the 'get' prefix suggests non-mutating behavior, the description does not confirm this or disclose any other traits (e.g., auth, rate limits).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences and gets to the point immediately. Each sentence adds value: purpose, mechanism, and actionable advice. It is not overly verbose, though it could be trimmed slightly by not repeating the auto-swap definition if integrated elsewhere.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite lacking an output schema, the description gives a solid overview of what information is returned (schedule, rules, last runs, reason if off). It provides enough context for an agent to know what to expect and how to act, and it fits coherently within the sibling tool ecosystem. Missing explicit field names or response format is acceptable given the absence of an output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both 'game' and 'logs'. The description adds no additional meaning about the parameters; it only implies 'logs' relates to past runs, which is already in the schema. According to the rubric, a baseline of 3 is appropriate when schema handles the parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: retrieving auto-swap status including schedule, rules, and last run details, and explicitly distinguishes it from siblings like configure_auto_swap and run_auto_swap by focusing on status reporting. It uses a specific verb ('get') and resource ('auto-swap') and explains what the tool returns, making it unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context—that this is for checking status and acting on the reason if a game turned off—but does not explicitly state when to use it versus alternatives. It fails to mention that configure_auto_swap is for changes or run_auto_swap for triggering a run, leaving usage to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the behavioral burden itself. It reveals ordering semantics, incremental pagination behavior, and the critical caveat that signed attachment URLs expire within about a day. It could briefly mention permission requirements, but the disclosed behavior is strong.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences with no filler. It front-loads the main purpose, then adds the most operationally important details about incremental reads and expiring attachment URLs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a read tool with no output schema, and the description covers the returned message contents, ordering, pagination pattern, and the signed-URL expiration caveat. That is enough for an agent to select the tool and interpret its response without ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds real value for `since` by explaining it should be the lastMessageId from prior reads, which clarifies the polling workflow better than the schema alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states what the tool returns: messages in a studio channel, oldest first, with author, time, text, and attachment URLs. It is specific enough to distinguish from sibling tools like send_channel_message or get_notification_history.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives a concrete usage pattern: pass lastMessageId from a previous read as `since` to poll only new messages. It does not name alternative tools for comparison, but the guidance makes the appropriate use case clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It explains what data is returned, mentions the thumbnail editability/read-only nuance, and clarifies input formats. It does not discuss errors or side effects, but as a read operation, this is acceptable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured, consisting of two clear sentences with no redundant information. It efficiently covers all essential points.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description sufficiently explains the return values (name, description, players, visits, likes, creator, and thumbnail editability). It also covers input options and the read-only implication, making it complete for the tool's purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema descriptions for both parameters are present and clear: 'game' accepts a link/place ID/universe ID, and 'isUniverseId' is set when the number is a universe ID. The description adds extra context that links are detected automatically, enhancing understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: retrieving Roblox game information (name, description, players, visits, likes, creator) from a game link, place ID, or universe ID. It distinguishes itself from siblings like search_roblox_games and get_thumbnails.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies usage when needing game details and mentions important contextual notes (not requiring the game to be on this account, and its relevance to read-only project status). However, it does not explicitly state when to use this over alternatives, though the purpose is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses detailed behavioral aspects such as timestamps, answer structure (who, what, Discord id, when), and special handling of payment tickets. This goes beyond a simple metadata statement, though it omits potential side effects—likely none for a getter—and rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact (three sentences), information-dense, and jargon-free. Every sentence provides value without redundancy, making efficient use of the agent's attention.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple parameter set and lack of output schema, the description thoroughly explains what the agent can expect in the response, including edge cases like payment tickets. No critical details about the tool's behavior are missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already covers both parameters (game, limit) with clear descriptions. The tool description adds no parameter-specific details, but since schema coverage is 100%, a baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly indicates the tool returns past notifications sent to the team about a game, including timestamps and answers. While it lacks an explicit verb like 'retrieves' or 'lists', the intent is transparent and distinct from siblings like notify_team, which sends notifications.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies a use case: 'so a caller can gate on a specific pair of people having both approved.' However, it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions or conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of disclosure. It provides valuable context: Roblox serves only the last 30 days, older data comes from an archive, and days with no data come back empty rather than zero. This explains important behavioral nuances beyond the annotation-free schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences front-load the core purpose and then provide necessary caveats. Every clause earns its place; no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although there is no output schema, the description names the returned fields ('daily click-through rate and impressions') and covers edge cases (archive fallback, empty vs zero). For a low-complexity tool with only two parameters, this is sufficiently complete, though it could explicitly state the output format (e.g., array of daily data points) to be fully self-contained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% (both 'game' and 'range' are documented), so the baseline is 3. The description adds meaning beyond the schema by clarifying date-window behavior ('Roblox only serves the last 30 days; anything older comes from the site's own archive') and missing-data semantics ('days it has neither for come back empty rather than as a zero'), which directly helps with the 'range' parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states what the tool provides: a game's daily click-through rate and impressions over time. It differentiates from thumbnail-level analysis ('rather than how one thumbnail is doing right now'), though it lacks an explicit verb-resource structure ('Returns...') and does not name a specific sibling tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an explicit use case: 'to answer whether it is trending up or down' and contrasts it with a different assessment ('how one thumbnail is doing right now'), implying when to prefer this tool. It does not explicitly name alternative tools or provide exclusion conditions, but the guidance is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description hints at behavior (empty queue causing auto-swap to do nothing) but does not disclose whether the operation is read-only, if it has side effects, or what it returns. The absence of annotations increases the need for such disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is verbose and redundant, repeating the same idea in both sentences ('lined up to go live' and 'where rotation gets its replacements'). It could be condensed into one clear sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description does not explain what the tool returns (e.g., a list of thumbnails, metadata) or any error conditions. Given there is no output schema, the description should fill that gap but fails to do so.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The parameter 'game' is documented in the schema with a clear description. The tool description adds no additional meaning or context about how the parameter affects the queue retrieval, so it does not enhance the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explains what a queue is but does not clearly state that the tool retrieves the queue. It says 'Thumbnails lined up to go live' rather than 'This tool gets the queue of thumbnails', so the purpose is implicit rather than explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives like queue_thumbnail or get_auto_swap. The description does not mention any specific scenarios or user intentions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the transparency burden. It discloses the key behavioral trait: comparison against the item's own earlier half, and warns that missing history means nothing to compare. It does not describe the exact output structure or behavior for empty history, but it provides sufficient directional context for the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences with no filler: the first explains what the tool does, the second gives when to use it, and the third states a necessary caveat. Information is front-loaded and every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-parameter tool with no annotations and no output schema, the description covers purpose, use case, and a critical prerequisite. It could be more complete by describing the return shape or the exact behavior for recently added games, but the provided text is sufficient for an agent to select and invoke the tool correctly in most situations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all three parameters are already fully documented in the schema. The description adds only marginal context by referencing 'window' and 'stored history' but does not elaborate on parameter semantics beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: determining per-thumbnail QPTR direction (climbing/sliding/flat) over a window, compared against each thumbnail's own earlier half. It distinguishes itself from sibling tools by emphasizing self-comparison rather than comparing against other thumbnails, which is a strong purpose differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives an explicit use case ('decide what to drop when a game's overall numbers are fine but something in the set is dragging') and a clear prerequisite/caveat ('Needs stored history'). It does not name alternative sibling tools, but the comparison methodology and use case make the intended context clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden here. It discloses the read-only nature ('Read'), the exact performance metrics returned, and the live/inactive dimension. It doesn't address edge cases like missing games or permission issues, but for a read tool the behavioral surface is well-conveyed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, no wasted words. The verb-resource is front-loaded, the metrics are listed compactly, and an example query anchors the purpose. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only tool with 3 well-documented params, no output schema, and no annotations, the description covers the key ground: what metrics are returned, the live/inactive split, and the intended use case. It could be more explicit about the return value structure, but since no output schema exists, the description does a solid job with the available context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description does add a small amount of color by explaining the live vs inactive split (correlating with includeInactive) and framing the performance metrics, but it doesn't contribute materially new param semantics that the schema's descriptions lack.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a clear verb-resource pair ('Read a game's thumbnails and how they are performing'), enumerates specific metrics (QPTR, impressions, qualified plays, average playtime), and the live/inactive split. It differentiates itself from analytics-focused siblings like get_qptr_trend and get_thumbnail_momentum by framing itself as the general performance checklist for a game's thumbnails.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Includes a concrete example question ('how are the thumbnails doing on <game>') that signals when to invoke this tool. It provides clear context for when it applies, but there are no explicit exclusions or named alternatives (e.g., 'for a single metric trend, use get_qptr_trend'), so it doesn't earn a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It mentions the output includes history with actor and timestamps, but does not disclose potential side effects (likely none), data freshness, or any access constraints. The description gives a partial picture but lacks deeper behavioral details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with a useful usage hint. The phrase 'where a ticket sits' is slightly verbose, but overall it is efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with only two parameters and no output schema; the description adequately explains the returned data (stage, next, estimate, history). However, without annotations, it could add more context about required permissions or typical use cases, but given the simplicity, it is mostly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, providing clear definitions for both parameters. The description adds no additional parameter-specific context beyond what the schema states, so an adequate baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool reads a ticket's stage and provides comprehensive pipeline info. It distinguishes from siblings like set_ticket_stage and list_tickets, though the purpose could be more concise.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for checking progress without reading the channel, but does not explicitly state when not to use it or mention alternatives like get_channel_messages or list_tickets. The context is clear but not fully explicit about exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does so thoroughly: it discloses access scope (read thumbnails, act on it), security boundary (never see stored credentials), ownership requirement, and one-time redemption. This goes well beyond a generic 'create invite.'

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences front-load the core action and then pack in constraints and access details without fluff. Every sentence adds behavioral or usage information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no annotations or output schema, the description covers purpose, lifecycle, permissions, and access scope. It does not explicitly state the return value/format of the minted token or link, which is a minor gap given the title implies a link.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the sole parameter 'game' is already described as 'Game name or universe id.' The description only adds the synonym 'project,' which is marginal; it does not add format or validation detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description opens with 'Create a single-use invite token for a project,' which is a specific verb and resource. It distinguishes itself from sibling list_collaborators by focusing on minting an invite rather than listing collaborators, and adds scope (project, seven days, single-use).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear usage constraints: 'Owner only,' single-use, seven-day expiry, and 'spent on first use.' It implies when to use (inviting a collaborator) but does not explicitly name alternatives or state when not to use, so it stops short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses that this is a mutating operation (linking/unlinking) and explains the effect: 'where its tickets get posted, and where the View channel button on its notifications goes.' It also notes the equivalence to Discord's /ticket config, implying a known behavior. However, it doesn't mention potential side effects (e.g., overwriting existing links) or error conditions (e.g., invalid channel), which would add more transparency. Given the absence of annotations, a 4 is appropriate for the added context beyond the bare schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is highly concise: three sentences total. The first sentence states the core action and effect. The second clarifies a technical nuance (Discord equivalence and no server requirement). The third gives a direct instruction for the parameter source. Every sentence adds unique value with zero filler. It is front-loaded with the most important information: what the tool does.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has only 2 parameters, both fully described in the schema, and the description adds crucial context about what linking means (ticket posting location, View channel button destination) and the unlink behavior. With no output schema, the description doesn't need to explain return values. The main gap is that it doesn't specify what the response looks like or any error conditions, but given the simplicity and the schema's completeness, the description is nearly sufficient. A 4 reflects this minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds value by explaining the role of channelId: 'Take the id from list_artist_channels. Pass no channel to unlink.' This clarifies that channelId is the identifier from a specific source and that its absence changes the operation from linking to unlinking. For the game parameter, the description reinforces the schema's 'Game name or universe id' by contextualizing it as the game being linked. This explains the relationship between parameters better than the schema alone, so a 4 is justified.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the purpose: 'Point a game at a channel that already exists: where its tickets get posted, and where the View channel button on its notifications goes.' It specifies the verb (link/point), the resource (game), and the target (channel). It distinguishes from siblings like create_channel (which creates a new channel) and list_artist_channels (which lists channels). It also clarifies the unlink behavior, which is a distinct secondary purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit usage context: 'where its tickets get posted, and where the View channel button on its notifications goes.' It explains the relationship to Discord's /ticket config and notes that it works 'without needing to be in the server.' It also gives a clear prerequisite: 'Take the id from list_artist_channels.' The instruction 'Pass no channel to unlink' defines when not to include the optional parameter. This covers when and how to use it, contrasting with creating channels.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The tool is clearly read-only, listing channels, and the description explicitly states that channels not listed are inaccessible to the bot, which manages expectations about the tool's scope. No side effects or permissions are mentioned, but for a simple listing tool, this is sufficient. Given no annotations, the description itself covers the key behavioral aspects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: it states what the tool lists, the format (with ids), the mapping, and a crucial caveat about missing channels. It covers all necessary information in a single clear paragraph without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool is purely a lookup, the description provides sufficient context: what it lists, why it's useful, and its limitation regarding bot access. It does not mention potential rate limits or response size, but for a simple listing tool, the provided context is adequate. The lack of an explicit output schema is compensated by mentioning that it returns ids.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so parameter semantics are not applicable. The schema correctly reflects an empty object, and the description does not imply any hidden parameters. The output semantics (channel id per artist) are described, even though there is no output schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The title and description are perfectly aligned: 'list_artist_channels' and 'List studio channels' unambiguously describe a read-only operation that retrieves channels. The description further clarifies the content (text channels the bot can see) and the mapping to artists, leaving no doubt about the tool's purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides direct usage guidance: 'Use this to turn an artist name into a channel id.' It also explains the significance of missing channels (no bot access). However, it does not specify when in a workflow this should be called (e.g., before linking or messaging), though the sibling tools suggest a broader context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description explains what a collaborator can do, but it does not disclose potential errors, return format, or side effects. With no annotations, the description carries the full burden and is insufficient for full transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, using a few short sentences without fluff. It conveys the essential information efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description implies the output contains a list of collaborators and invite links, but it does not detail the output structure or handle edge cases. For a simple listing tool, this is adequate but not comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The parameter 'game' is already described in the schema as 'Game name or universe id.' The tool description adds no further clarification or context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly indicates that the tool lists collaborators and open invite links, and it notes owner-only access. While the verb 'list' is not explicit, the meaning is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states 'Owner only', which provides a usage constraint, but does not compare to sibling tools like list_projects or get_notification_history, nor does it mention when to use this versus alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the burden. It indicates a listing operation (read-only) but doesn't explicitly state that, nor does it mention any side effects or requirements. It does say 'so a name the user said can be matched to one' which implies usage context but not full behavioral transparency about errors or return.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one sentence, concise, and front-loaded with the action. It delivers the essential purpose without fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there is no output schema)Skip, the description explains what is listed and why. It provides enough context for a typical use case. It doesn't mention return format, but that is often inferred.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already describes the parameter as 'Game name or universe id.' The tool description doesn't add new semantics beyond the schema, but it does connect it to the context of listing Discord roles. With 100% coverage, baseline is 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: listing Discord roles that can be notified, with a specific use case of matching a user-said name to a role. This is more specific than generic 'list roles' and gives context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use it (when needing to match a user-said name to a role) but does not explicitly state prerequisites or typical invocation context. It's adequate but lacks explicit guidance like 'call this before sending a notification'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations to rely on, the description transparently discloses the tool's output structure (prompt, rewritten prompt, references, stored image URL), ordering (newest first), and overarching purpose. It implies a read-only, non-destructive operation, which is behaviorally useful. However, it doesn't mention potential side effects (likely none) or clarify that it returns an empty list when no generations exist, leaving slight room for interpretation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences deliver complete value: the first lists all returned data and ordering, the second gives two concrete use cases. No unnecessary words or repetition. The description is front-loaded with the most critical info (what is listed) and remains highly scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with only two parameters and no output schema, the description is sufficiently complete. It explains what is returned, the ordering, and when to use it. Minor gaps exist: it doesn't mention pagination or default behavior of the 'limit' parameter, but the schema already covers the default value, so the description doesn't need to repeat that. Overall, a well-rounded description for the tool's simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema covers 100% of parameters, and the description does not add parameter-specific details beyond what's in the schema. The phrase 'reuse a prompt' hints at how 'game' and 'limit' are used, but overall the description adds no new constraints or defaults. Per the rubric, a baseline of 3 is appropriate when schema coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as listing all thumbnail generations for a game, with explicit scope ('for a game') and ordering ('newest first'). It goes beyond a generic label by enumerating the specific data fields returned (prompt, rewritten prompt, references, URL), which precisely distinguishes it from sibling tools like get_thumbnails that likely return thumbnail metadata.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides concrete use cases: 'find something made earlier and publish it with upload_generation, or to reuse a prompt that worked.' This tells the user when to select this tool, and even names a complementary tool. It stops short of explicitly contrasting with list_artist_channels or get_thumbnails, so it gets a 4 rather than a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description clearly indicates a read-only operation (list) and specifies what is listed (games) and what is returned (universe ids). It does not disclose potential failure modes or processing time, but for a simple list operation this is acceptable. There are no annotations, but the description itself is fairly transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured. It clearly states the action (List), the object (Roblox games), the context (on this account), the additional data (universe ids), and the intended use (to turn a game name into an id). No redundant or ambiguous language.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description provides enough context for the tool to be useful, including a specific use case. However, it does not mention error scenarios, such as when the account has no games or if linking is required, but given it is a simple list operationasi and the sibling tools suggest an ecosystem, this is acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is empty with no parameters, so there are no semantics to explain. The description correctly and fully covers the expected inputs (none). The tool has no parameters, so this dimension is trivially satisfied.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states what the tool does: it lists Roblox games associated with the account accruals. It also explains the purpose of providing universe ids for turning game names into ids, which makes the intent unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a specific use case: 'Use this to turn a game name the user said into an id.' It gives a direct instruction, which is helpful. However, it does not elaborate on when the user might say a game name, precedent steps, or error scenarios, which could be added for more completeness, but the core guidance is present.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations were provided, so the description carries the burden of behavioral disclosure. It explains the purpose and the relationship to generate_thumbnail, but doesn't disclose details such as rate limits, authentication requirements, or whether the list is dynamic. For a simple list operation with no annotations, this is acceptable but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that front-loads the purpose and adds a practical usage note. It is concise with no wasted words and includes all relevant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no parameters, no output schema), the description is fairly complete. It explains what the tool returns and how to apply it, which is sufficient for an agent to use it correctly. The only minor gap is that it doesn't mention any pagination or limits on the number of profiles, but for a list of named styles, this is not critical.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and schema coverage is 100% as there are no properties. The description adds value by explaining what the output contains (named style guides with instructions) and how to use them, which compensates for the lack of parameters. Since there are no parameters, the baseline is 4 per the rubric.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that this tool lists the named style profiles available for the prompt enhancer, which is a specific resource. It distinguishes from siblings like list_projects or list_discord_roles by focusing on style profiles, though it doesn't explicitly mention sibling alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by explaining how the output (profile names) can be used with generate_thumbnail, providing context on when to use this tool. However, it doesn't explicitly state when not to use it or alternatives, so it's adequate but not fully explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must fully disclose behavior. It mentions output content (what was asked, who answered, payment status) but omits side effects, permissions, or read-only status, leaving critical behavioral aspects undisclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single rambling sentence with awkward phrasing like 'without the plain notes get_notification_history mixes in' and lacks a clear, structured explanation. It is not concise and would benefit from a straightforward rewrite.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description fails to provide sufficient context about the tool's role, the meaning of 'plain notes,' or the output format. It mentions a use case but leaves the reader confused about the broader context, making it incomplete for effective usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides clear descriptions for all three parameters (game, limit, unansweredOnly). The tool description adds no additional semantic value, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description attempts to state a purpose but is convoluted and unclear. It mentions 'just the tickets on a game' and references 'get_notification_history' without explaining the relationship, leaving the actual function ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description hints at a use case ('answer what is outstanding on this game') and distinguishes from get_notification_history, but it does not provide explicit guidance on when to use this tool versus alternatives, nor clear exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It discloses that DMs are sent to everyone in the role, that answers are broadcast to the whole role, that image uploads are automatic, and that paymentAmount converts the message into an invoice and marks tickets paid. This is substantial behavioral detail, though it does not mention rate limits, irreversibility, or permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, dense paragraph that front-loads the core action before explaining options. It could be slightly better structured with bullets or separate sentences for the payment mode, but every sentence contributes useful information and no words are wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 11-parameter tool with no output schema, the description explains the key behavioral contexts: role-wide DMs, button labels, payment flow, and ticket relay behavior. It leaves a few edge cases undocumented (e.g., what happens if no images are provided, whether DMs are batched), but it covers the main decision points an agent needs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already has 100% parameter descriptions, so the baseline is 3. The description adds meaningful semantics by explaining how paymentAmount changes the buttons to Paid/Cancel and marks the ticket paid, and how ticket relays the note and answers. This goes beyond the schema's literal property descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('DM everyone holding a Discord role') and specifies the resource ('about a game'), clearly distinguishing it from sibling tools like get_notification_history or send_channel_message. It also states additional capabilities (attachments, answer buttons, payment invoices), making the tool's purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives strong context on when to use the tool (notifying a role about a game) and even explains the payment-mode behavior for commissioned work. It lacks explicit exclusions or comparison to alternatives such as send_channel_message, but the context is clear enough that an agent can decide appropriately.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses the key side effect ('Posting it again takes the previous one down rather than leaving two') and explains what happens when someone clicks the button. Minor gaps remain around permissions or error states, but the most important behavioral traits are covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is four sentences, front-loaded with the purpose, then covering the click flow, alternatives, and idempotency. Every sentence earns its place; there is no redundant or filler content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 3-parameter tool with no output schema, this description is complete: it covers behavior, side effects, alternatives, and defaults. The schema provides full parameter details, and the description adds the necessary operational context for correct use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and each parameter already has a clear description in the schema. The main description adds context about the overall workflow but does not significantly enhance parameter understanding beyond what the schema provides, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource: 'Post a game's standing "Add ticket" button in its channel.' It clearly distinguishes from siblings by naming create_channel and link_channel as tools that already do this during initial setup, and positions this tool as the way to restore or relocate the button.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use the tool: 'for putting the button back after it has scrolled out of sight, or moving it somewhere else.' It also names create_channel and link_channel as alternatives that already perform this behavior, giving the agent clear guidance on when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden and does well: it discloses that queuing does not change what players see, that auto-swap promotes later, and that set_active_thumbnails bypasses the queue. It could also mention queue ordering/replacement or cancellation, but the core behavior is transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the purpose, followed by a prerequisite and behavioral caveat. Every sentence earns its place with no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter tool with no output schema, the description is complete: it explains what the tool does, what must happen first, what effect it has on players, and how to achieve immediate activation. The presence of sibling tools like unqueue_thumbnail and get_queue makes the surrounding context even richer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds extra meaning by clarifying the id parameter must reference an existing thumbnail already uploaded to the game, which supplements the schema's 'Asset id or thumbnail id from get_thumbnails'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific action (queue an existing thumbnail) and a clear resource scope (existing thumbnails already on the game). It distinguishes itself from siblings by explicitly contrasting queuing with set_active_thumbnails and auto-swap behavior.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states the prerequisite explicitly (the thumbnail must already be on the game; upload it first if not), and provides an alternative path (set_active_thumbnails for immediate live placement). This gives the agent clear when-to-use and when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden for behavioral disclosure. It does well by stating the side effect ('changes what players see'), the rule applied ('drop the worst live thumbnails by QPTR, promote from the queue'), and the no-op behavior ('reports that rather than failing'). It stops short of mentioning permissions or reversibility, but the core behavioral traits are transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences with no wasted words. The description is front-loaded with the primary action, then fills in behavioral details and edge-case behavior.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (one required parameter, no output schema, no nested objects), the description is sufficiently complete. It covers what triggers, what rules are applied, what side effects occur, and what happens in a no-op case.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already fully documents the single parameter 'game' with 'Game name or universe id.' The description adds no further parameter-level nuance beyond referencing 'a game's rotation', so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Fire a game's rotation once, immediately' with a specific action and resource. It also distinguishes this from schedule-driven or configuration tools by emphasizing 'without waiting for the schedule or needing it enabled'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear usage context: use this when you want an immediate rotation, regardless of schedule or enabled state. It does not explicitly name alternative sibling tools like get_auto_swap or configure_auto_swap, but the distinction is clear enough from 'now' versus scheduling/configuration.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Since no annotations are provided, the description carries the full burden of behavioral disclosure. It openly notes that results are tailored to a signed-in account rather than absolute, which is a useful caveat. It could go further by mentioning return format or pagination, but for a search operation the core behavior is effectively disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the primary action and resource, then adds use cases and an important caveat. Every sentence earns its place and there is no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple search tool with only two parameters and no output schema. The description explains the purpose, use cases, and the personalized-results caveat, which is sufficient for an agent to decide whether to invoke it. A description of result fields would add polish but is not essential for a search tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds 'by name or keyword' to clarify query semantics, but the schema already documents query and limit clearly. No additional parameter detail is necessary beyond what is provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches Roblox for games by name or keyword, which is a specific verb + resource. It also distinguishes itself by mentioning use cases like finding a game to add or comparing thumbnails, setting it apart from sibling tools like get_game_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context for when to use the tool: finding a game to add or viewing comparable experiences' thumbnails. It does not explicitly mention alternatives or exclusions, but the use cases are concrete enough to guide an agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the transparency burden. It discloses that the message is posted as the bot, can be plain text or an embed, can include attachments/images, and is meant for pre-agreed updates. It does not mention permissions, failure behavior, or whether posted messages can be edited/removed, but it is substantially more transparent than a bare 'post a channel message'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences cover purpose, formats, embed anatomy, image attachments, and the intended-use boundary. The description is front-loaded, every clause earns its place, and no padding or repetition is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with one required parameter, a complex nested embed object, and no output schema, the description plus rich schema comments are enough to understand what the tool does and how to invoke it. It could be slightly more complete with an explicit permission prerequisite or a note on return behavior, but nothing critical is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All parameters have schema descriptions, so the schema already does the heavy lifting for channelId, text, embed, and imagePaths. The description adds useful conceptual context about the plain-text-versus-embed choice and image attachment, but it does not add parameter-level syntax or formatting details beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Say something in a studio channel as the bot,' and immediately clarifies the two supported formats (plain text or embed). It also names the embed's visual anatomy, which sets it apart from passive/read tools like get_channel_messages and from notify_team-style notifications.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear when/when-not guidance: it is 'Meant for messages that were already agreed on — briefs, thank-yous, status notes — not for improvising a conversation with an artist.' It does not explicitly name a sibling tool in the description itself, though the schema's button parameter points to notify_team for question-style interactions, so it stops just short of a full 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It comprehensively discloses: the change is immediate, affects what Roblox serves to players, nothing is deleted, and inactive variants can be brought back. This covers destruction (none), side effects (immediate applicability), and reversibility, which is excellent given the absence of annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact paragraph that is front-loaded with the core purpose, then logically moves to input formats, modes, and consequences. Every sentence adds meaningful information, with zero filler. It is appropriately sized for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the moderate complexity of three parameters and no output schema, the description is complete. It covers all essential aspects: behavior, modes, id handling, and side effects. No important information is missing, and the integration with get_thumbnails is mentioned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3, but the description adds significant semantic value: it explains that ids accept two types (asset ids from get_thumbnails or internal thumbnail ids) and gives precise meaning to each mode. It goes beyond the schema's enum descriptions by advising on typical usage ('which is what you usually want'). This is clear added value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool changes which thumbnails are live on the homepage, with a specific verb ('change') and resource ('game's thumbnails'). It distinguishes itself from siblings like get_thumbnails (which retrieves) and upload_thumbnail (which creates) by focusing on setting the live set.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly explains when to use each mode ('replace' vs 'add'/'remove'), and tells the agent that 'add' or 'remove' is 'what you usually want when acting on one thumbnail.' It does not explicitly mention alternative tools, but the clear mode guidance serves the purpose of guiding usage. The description also specifies that ids can come from get_thumbnails, linking to the workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Only annotation provided is 'None provided', so the description bears full responsibility. It discloses that credentials are stored encrypted and never read back, that clearing the cookie reverts to a shared default account, and that the tool is owner-only. This is thorough for a mutation tool with no annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is a single paragraph but packed with useful information, each sentence earning its place. It front-loads the core purpose, then details usage, security, and exclusions efficiently. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description covers purpose, behavioral traits (encryption, not read back), usage instructions (clearing, default account), and access control (owner only). The only minor gap is not specifying what happens after success or if input is invalid, but that's not crucial for a setter with clear params.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and each parameter already has a description. The description adds context about what the values unlock and how clearing works, but it doesn't add syntax or format details beyond the schema. Thus it meets the baseline but doesn't exceed it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool's purpose: attach an API key and/or cookie to a game. It names the specific resources (Open Cloud API key, .ROBLOSECURITY cookie) and the target (a game), distinguishing it from sibling tools like get_game_info or check_permissions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit usage guidance: when to use (the two things check_permissions reports missing), what each credential unlocks, how to clear them (empty string), and a critical exclusion: 'Owner only.' It also warns not to invent values, which guides the agent's invocation behavior.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fully carries behavioral disclosure. It states each move posts a new card rather than editing, only the newest stays pinned, jumping stages is allowed and names skipped ones, automatic transitions on open/approve, and the separate storage of review gates. This is rich, actionable behavior that an agent would need.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat long but every sentence adds crucial detail for a complex tool with 12 stages. It is structured logically: what it does, how it behaves, special cases. No wasted words, but it could be tighter if it separated the automatic transitions from the main behavior.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (12 stages, multiple side effects), the description covers all necessary contextual information: side effects, pinning, skipping, automatic transitions, review gate specifics, and alternatives. It is complete for an agent to select and invoke correctly, even without an output schema (which is likely fine for a setter).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds value beyond the schema by explaining the stage enum semantics in context (e.g., 'revising goes back to the artist rather than forward,' and the distinction between review gates). It also provides examples for the note parameter ('Second pass, wider crop') which aids understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource: 'Set which of the twelve production stages a ticket is on' and clarifies the side effect of redrawing the pinned card. It clearly distinguishes from siblings like get_ticket_stage (reading stage) and post_ticket_panel (posting a panel) by focusing on the stage-setting action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains when this tool is used (for manual stage transitions after automatic 'ordered' and 'confirmed' states) and mentions an alternative: 'every stage after that is set here or with /ticket status.' While it doesn't explicitly say when NOT to use it, the context of pipeline progression is clear. It implies that this is the primary tool for advancing stages manually.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the transparency burden. It explicitly discloses a key non-destructive trait: the thumbnail itself is untouched and stays on the game. It does not mention reversibility, idempotency, or error behavior, but the core side effects are clearly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with no filler. It front-loads the primary action and then adds the important non-destructive clarification. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter tool with no output schema and no nested objects, the description plus schema is largely complete. It explains what the tool does, what it affects, and what it does not affect. It could mention what happens to the removed entry or whether the action is reversible, but these are minor gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description itself adds no parameter-level meaning beyond the schema, which already explains that id can be a queue entry id or asset id and game is a game name or universe id.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Remove an entry') and resource ('swap queue'), clearly distinguishing this from sibling tools like queue_thumbnail (add) and get_queue (list). It also explains the intended effect on auto-swap behavior, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly implies when to use the tool: when you want to prevent auto-swap from promoting a specific queue entry. It does not explicitly name alternatives or state when not to use it, but the context is clear enough given the sibling tool set.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the side effect: the resulting Roblox asset id is recorded against the generation, enabling analytics tracing. It also clarifies the network behavior (site sends its own stored copy) and what is not done (no download/re-upload). This is strong transparency for a publish action, though it could mention potential failure modes or permission requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that front-loads the core action and then adds necessary context. Every clause adds value: the source of the generation id, the mechanism (no download/re-upload), and the side effect (asset id recorded for analytics). No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (2 params, no output schema, no annotations), the description is quite complete. It explains the workflow (publish from history), the mechanism, and the downstream benefit (analytics tracing). It could be slightly more complete by mentioning what the response contains (e.g., the asset id) or any prerequisites like permissions, but it covers the essential context well.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides 100% coverage with descriptions for both parameters ('Game name or universe id' and 'Generation id from list_generations'). The description adds context by explaining the generation id's origin and the purpose of the asset id recording, but it does not add new syntax or format details beyond the schema. Baseline 3 is appropriate given the high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Publish an image already in a project's history to Roblox'), the specific resource (a generation identified by its id from list_generations), and the mechanism (the site sends its own stored copy, no download/re-upload). It distinguishes itself from sibling tools like upload_thumbnail and generate_thumbnail by focusing on publishing an existing generation to Roblox.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the context of use: it operates on a generation id from list_generations, implying a prerequisite step. It also clarifies what the tool does not do (nothing is downloaded or re-uploaded), which helps set expectations. However, it does not explicitly state when to use this tool versus alternatives like upload_thumbnail, though the distinction is implied by the generation id reference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description takes on full responsibility for behavioral disclosure. It proactively explains the asynchronous moderation behavior, which is non-obvious and essential for the agent to correctly interpret results. This goes beyond a simple action statement and sets a high bar for transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, compact sentence that front-loads the purpose and immediately addresses the most important behavioral nuance. Every word earns its place; there is no wasted verbiage or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (2 params, no output schema), the description covers the essential elements: action, resource, and critical asynchronous behavior. It doesn't mention potential errors (e.g., invalid image path, size limits) but with no output schema, it could have added a note on response handling. Still, it's reasonably complete for its purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema covers 100% of parameters with descriptions for both 'game' and 'imagePath'. The description does not add extra semantic meaning beyond the schema, but the baseline of 3 applies because the schema is self-sufficient. No additional details about format, validation, or constraints are needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Publish a local image as a thumbnail on a Roblox game') with a specific verb and resource. It distinguishes from siblings like 'generate_thumbnail' (which generates rather than uploads) and 'delete_thumbnail' (which deletes), though it doesn't explicitly contrast with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context on when to use the tool (publishing a local image) and adds critical information about asynchronous moderation, implying that a Pending result is expected. However, it doesn't explicitly state when not to use it or mention alternatives like 'upload_generation' (which might be for uploading generated images).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.