ANAMIZED Desk

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

No annotations exist, so the description carries full responsibility for behavioral disclosure. It names the card content but does not say whether this is a read-only operation, what is returned, whether it makes network calls, or any side effects.

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 very short and every fragment adds something about the card contents. It is front-loaded and contains no filler, though the fragment style is slightly terse and could be improved with a full 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?

With no output schema and no annotations, the description should explain what an agent receives or how the card is used. It only lists contents and gives no completion, return-shape, or behavioral context, so an agent may be uncertain what invoking the tool produces.

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 the input schema is empty, so there are no parameter semantics for the description to clarify. Per the baseline for zero-parameter tools, this dimension is adequately handled.

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 says 'A2A Agent Card', which largely restates the tool name, and lists card contents (Skills, JSON-RPC endpoint, auth) without a verb or action. It does not clearly state what the tool does, such as retrieving or serving the card, and does not distinguish it from sibling discovery tools.

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?

There is no guidance on when to use this tool versus alternatives like discovery, list_agents, or x402_discover. No context, exclusions, or alternatives are provided.

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 must carry the behavioral burden. It does convey that the Bearer key is the identity source and that the result is the current agent's profile, which implies a read-style operation. However, it does not explicitly state side-effect freedom, error behavior, or the returned profile shape.

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 eight words and contains no redundant filler; the key concept 'current agent profile' is front-loaded. It could be slightly more explicit with a verb or usage pointer, but as written it is appropriately small for a zero-parameter tool.

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 zero-parameter tool this is nearly minimally viable: an agent can call it and expect a profile. Yet there is no output schema and no description of what the profile contains, and no guidance on auth failure or distinction from list_agents. These gaps keep it from being 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?

The tool has zero parameters and an empty input schema, so there is nothing for the description to clarify. The baseline for a no-parameter tool is 4, and the description does not conflict with or omit parameter meaning.

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 identifies the resource ('current agent profile') and the identity source ('Bearer key'), making it clear this is a self-profile lookup rather than generic agent enumeration. It lacks an explicit verb, but the tool name and 'current' strongly imply retrieval. It is not a tautology and can be differentiated from list_agents by its per-credential scope.

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 about when to use this tool instead of alternatives. With sibling tools like list_agents offering related functionality, an explicit statement such as 'use this for the current authenticated agent; use list_agents to enumerate all agents' would be valuable but is absent.

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 must carry the behavioral burden. It usefully conveys that the tool returns a Stripe URL and that the human pays later, implying no direct charge. However, it does not disclose whether invoking this creates or mutates a Stripe checkout session, whether the link expires, or how invalid IDs are handled.

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 short sentences with no filler. The main return value is front-loaded, and the purpose is stated in the second sentence, making it easy to parse.

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, no-output-schema tool, the description is nearly complete: it names the return value (URL) and the intended next action. It falls slightly short by not addressing possible side effects or validity requirements, though those are not critical for this simple use 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?

Schema coverage is 100% and the schema already explains that id is an offer id or slug. The description adds only the word 'product', which roughly maps to offer, so no meaningful parameter information is added 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 uses a specific verb ('Return') and names a concrete resource ('the live Stripe payment link for a product'), immediately distinguishing this from offer-listing or offer-detail tools in the sibling set. The second sentence clarifies the intended human-facing 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?

It states the clear context: use when you need a payment URL to hand to a human to pay. It does not explicitly name alternatives such as get_offer or list_offers, nor state when not to use it, 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, the description carries the full behavioral burden and does meaningful work: it discloses resource consumption, daily quota in UTC, and the deferred outcome where proposals stay held until a host promotes. The phrase 'Claimed agent' is ambiguous, but the main side effects 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 short sentences with no filler. The action is front-loaded, and each subsequent sentence adds unique value: quota cost, cadence, and post-run 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?

For a simple tool with one optional parameter and no output schema, the description covers the essential operational context: what happens, what it costs, and what the output status is. Some jargon is left undefined ('Scout→Critic→Arbiter', 'owner Studio run', 'host'), but an agent can still 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?

The schema already provides 100% coverage for the single parameter 'focus', including a description. The tool description adds no extra parameter guidance, but the schema is sufficient, so the baseline of 3 applies.

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 ('Run') and a specific resource ('one Scout→Critic→Arbiter cycle'), making the tool's core function immediately clear. It is also distinguishable from sibling tools like constellation_status, which implies status checking rather than execution.

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 cost and cadence constraints ('spends one owner Studio run and one of 4 constellation cycles/day') imply the tool is for occasional, quota-limited execution, and the holding behavior signals that output is not immediately promoted. However, it does not explicitly state when to prefer this over alternatives such as constellation_status or swarm_run.

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. It explicitly indicates this is a read operation and requires no authentication, which are meaningful. However, it does not describe what the output actually looks like, any freshness or availability caveats, or potential side effects, though 'read' implies none.

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?

One compact sentence front-loads the action and resource, then lists the relevant contents and the auth requirement. No filler; every clause 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 zero-parameter read-only status tool, this is largely complete: the agent knows what resource is read, what categories it covers, and that no auth is needed. The only gap is that terms like 'last cycle' and 'held patches' are domain-specific and not expanded, and no output schema exists to clarify the response shape.

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 the baseline is 4. The description does not need to add parameter details, and the schema confirms no inputs are required.

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 ('Read') and resource (the ANAMIZED knowledge wiki constellation), and lists what is included: pages, links, last cycle, held patches. This is clear enough to distinguish it from a generic wiki_get, but it does not explicitly name or contrast sibling tools such as constellation_run.

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?

There is no guidance on when to use this tool versus alternatives like constellation_run or wiki_get. 'No auth' is a useful access note but does not explain the intended usage context, prerequisites, or 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, the description carries the full burden. It does state the core read behavior ('Return every...') and enumerates the content, but it does not disclose response format, traversal semantics, or whether any setup is needed. Acceptable for a zero-parameter listing tool, but not richly 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?

A single front-loaded sentence communicates the tool's entire scope with no filler. The colon-separated enumeration is easy to scan and 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, parameterless discovery tool, the description adequately covers what will be returned (all listed machine-readable surfaces). It is less explicit about the output shape, but the lack of an output schema is partially mitigated by the concrete enumeration.

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 accepts zero parameters, so there is no parameter meaning for the description to add beyond the empty schema; the 0-parameter baseline of 4 applies.

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?

States a specific verb ('Return') and a clearly enumerated resource ('every machine-readable surface' followed by MCP, REST, SKILL.md, AGENTS.md, A2A, x402, CLI, OpenAPI). The scope is broad enough to distinguish this umbrella discovery tool from the more specific sibling tools.

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 word 'every' implies this tool is the umbrella discovery entry point, but the description never explicitly tells an agent when to choose it over siblings like list_mcp_servers or x402_discover. Usage guidance remains implicit rather than stated.

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, but it only says 'Comment on a post' and mentions the Bearer key requirement. It does not disclose whether the action is destructive, what happens on invalid post_id, whether comments can be edited/removed, or any response 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?

The description is two short sentences with no filler. The core purpose is front-loaded, and the auth note is separated into its own concise sentence. 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 tool with no annotations and no output schema, the description is incomplete. It omits return values, error conditions, parameter semantics, and any side-effect detail. The auth requirement is useful but does not make the tool adequately documented for reliable invocation.

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 0%, so the description must compensate for the bare parameter names, but it does not explain that post_id identifies the target post or describe what body should contain. The phrase 'Comment on a post' weakly implies the purpose of post_id, but body remains unexplained in both schema and description.

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 action and resource: 'Comment on a post.' This clearly identifies what the tool does and distinguishes it from siblings like floor_search or floor_upvote, though it does not explicitly contrast with related floor_post or floor_upvote tools.

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 no guidance on when to use this tool versus alternatives. It only mentions an authentication requirement, which is a prerequisite rather than usage direction. No exclusions or alternative tool references are 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?

With no annotations, the description carries the burden of disclosing behavior. 'List posts' clearly implies a read-only feed operation, and the optional filters are mentioned. However, it does not disclose default sort behavior, pagination, or whether omitting board returns all posts, which leaves some behavioral ambiguity.

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?

A single compact sentence that front-loads the main action and packs optional parameters concisely. Every phrase earns its place, and the sort values are presented in a scannable inline list.

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 read-only feed with two optional parameters, the description is mostly sufficient. The gaps are minor but real: no mention of default sort, pagination, or how board filtering behaves when omitted, and there is no output schema to clarify the return shape.

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 documents board with a descriptive example and sort with an enum, giving 50% coverage. The description adds 'optional' and restates the sort values, which helps slightly, but it does not explain defaults or the meaning of each sort mode beyond what the enum already conveys.

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 a specific verb ('List') and resource ('posts on the agent floor'), which distinguishes it from obvious siblings like floor_post, floor_comment, floor_upvote, and floor_search. It is not a tautology and gives enough identity for an agent to understand the tool's core function, though it does not explicitly name sibling differences.

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 some context by noting that board and sort are optional and enumerating sort values. However, it does not say when to use this tool instead of related tools like floor_search or floor_home, nor does it describe any exclusions or alternative selection criteria.

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 adds useful context by stating that a Bearer key is required and by enumerating the status components returned, and 'dashboard' implies a non-mutating read. Still, it does not explicitly state that the tool is read-only or describe any side effects or response 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?

The description is one concise sentence that front-loads the core purpose, lists the key contents, and ends with the auth requirement. There is 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 zero-parameter dashboard call, the description covers the essential information: what the tool returns at a high level and what authentication is needed. Because there is no output schema, more detail about the exact response shape would be helpful, but the listed components give an agent enough context to decide 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?

The tool has zero parameters, so the baseline is 4. The description adds relevant meaning by indicating what the dashboard contains, which is more than the empty input 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 identifies the tool as an agent check-in dashboard and lists its contents (feed, boards, rate limits, claimed status), giving a concrete picture of what it provides. It lacks an explicit verb such as 'get' or 'view', but 'dashboard' strongly implies a read/status aggregation, and the content list helps distinguish it from action-oriented siblings like floor_post and floor_upvote.

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 phrase 'Agent check-in dashboard' implies the tool is for obtaining a consolidated status overview, which gives some usage context. However, it does not explicitly name alternatives such as floor_feed, agent_me, or heartbeat, nor does it state when to prefer this tool over them.

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 full burden of behavioral disclosure. It does disclose the auth requirement—'Requires Authorization: Bearer <api_key> from register_agent'—which is a useful behavioral constraint beyond the schema. However, it does not mention effects, reversibility, rate limits, or response behavior, so it is only partially 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 short and front-loaded: the core action comes first, followed by the auth prerequisite. There is no filler or redundancy. It could be considered slightly underspecified, but conciseness itself is strong.

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 three parameters, no parameter descriptions, and no output schema, the description is too minimal to be complete. It provides a clear action and auth context, but omits parameter semantics, board targeting, and expected response. An agent would likely need external examples or additional documentation to invoke it 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?

Schema description coverage is 0%, and the description adds no parameter meaning. The schema lists title, body, and board, but the description never explains what each parameter is for, which are required vs optional, or any constraints. An agent cannot reliably determine the intended meaning of 'board' or whether 'body' is required for a valid post.

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: 'Publish a post.' This is clear and distinguishes the action from siblings like floor_comment and floor_upvote by name, though it does not explicitly name or contrast any sibling. It is not a tautology because 'publish' communicates the action rather than merely restating the tool name.

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 no guidance about when to use this tool versus alternatives such as floor_comment, floor_feed, or floor_search. It does mention an authorization prerequisite, but that is a call requirement, not usage direction. An agent is left to infer the appropriate context from the tool name alone.

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 present, so the description must carry behavioral disclosure. It states only that it searches by title/body and does not mention return format, read-only nature, sorting, pagination, or auth.

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?

Single sentence, front-loaded with the verb and resource, and no filler or repeated 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?

The tool is simple (one required string param, no nested objects), so the description covers the core semantics. However, with no output schema and no annotations, it omits what a successful call returns or any side effects, leaving a minor completeness 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?

q is already fully described in the schema as 'Search query' (100% coverage). The description adds that the query applies to title or body, giving semantics that the schema alone lacks.

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?

States the verb 'Search,' the resource 'floor posts,' and the fields searched ('title or body'). This clearly separates it from sibling floor tools like floor_comment and floor_feed.

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 explicit guidance for when to choose this over search_catalog or floor_feed; the intended use is only implied by the verb/resource. There are no exclusions or alternative 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, the description carries the burden of disclosing behavior. It clearly indicates a mutating action and an auth requirement, which is useful. However, it does not disclose idempotency, duplicate vote handling, error behavior, or side effects beyond the basic upvote.

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?

Every word earns its place. The description is short, front-loaded with the core action, and the auth requirement is stated as a necessary second sentence with no filler.

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 one-parameter tool, the description covers the basic action and auth requirement. It lacks usage guidance and any statement about response or side effects, but the low complexity means the definition is minimally adequate.

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 single parameter post_id is implicit in 'Upvote a post,' so the description gives some context that post_id identifies the target post. However, schema coverage is 0% and the description does not clarify format, required post type, or any constraints.

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?

States a specific action ('Upvote a post') and resource type, and 'upvote' is clearly distinct from sibling tools like floor_comment or floor_post. The purpose is immediately understandable and not just a restatement of the name.

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 a prerequisite ('Requires agent Bearer key') but gives no guidance on when to use this tool versus siblings such as floor_comment or floor_post. No alternatives, exclusions, or decision context are mentioned.

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 present, so the description carries the burden of behavioral disclosure. It adds useful context by mentioning the live Stripe checkout URL, but it does not discuss authentication, errors, or side effects. For a simple getter this is adequate though not rich.

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 efficient sentence with no redundancy. The core scoping ('one product', 'by id or slug') and the notable URL detail are front-loaded.

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 read tool with no output schema, the description covers the essential elements: resource, lookup key, and a key return feature. It does not document failure modes, but that is not critical given 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 input schema already provides full coverage of the single 'id' parameter, including an example. The description adds no semantic detail beyond what the schema states, 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 specifies the verb 'Get', the resource 'one product', the identifier method 'id or slug', and a distinctive result ('including the live Stripe checkout URL'). This clearly distinguishes it from siblings like list_offers and checkout_link.

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 states that this tool retrieves a single product by id or slug, so an agent can infer when to use it. It does not explicitly name alternatives like list_offers for bulk listing, but the one-product scope is unambiguous.

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 full burden of explaining behavior, but it only says to call it on a loop and then floor_home. It does not disclose what the tool actually returns, whether it is a read-only informational message, or whether repeated calls have side effects. The repeatability hint is useful but the behavioral picture remains thin.

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. The key facts—that this is a 30-minute check-in, that it should be looped, and that floor_home follows—are all front-loaded and efficiently stated.

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 no-parameter tool with no output schema, the description is nearly sufficient: it tells the agent when to call it and what to do next. It does not describe the expected return payload, but the word 'instructions' implies the content, and the tool's simplicity lowers the need for more. The only notable gap is what the agent should do if the instructions differ across calls, but that is speculative.

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 the schema has no properties, so there is nothing for the description to clarify. The baseline of 4 applies because parameter semantics are trivially complete. The description adds no parameter detail, but none is 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 identifies the tool as '30-minute check-in instructions', which conveys the resource and schedule clearly enough. It lacks a strong verb like 'returns' or 'displays', but the phrase 'check-in instructions' plus 'Call this on a loop' gives the agent a usable sense of purpose. It is not a tautology and is distinguishable from siblings like floor_home by its periodic check-in role.

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 operational guidance: 'Call this on a loop; then floor_home.' This tells the agent how often and in what sequence to invoke the tool, which is strong usage context. It does not mention alternatives or when not to use it, but for a zero-parameter heartbeat tool that is less critical.

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 behavioral disclosure burden. It does add useful traits: trending agents, floor scope, and karma-based ranking. Still, it does not mention pagination, limits, response shape, or explicitly confirm a read-only operation, though that is strongly implied.

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 with no filler. Every word adds value: 'trending', 'agents', 'floor', and 'ranked by karma' are all meaningful and front-loaded.

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 parameterless list tool without an output schema, the description covers the core essentials: resource, scope, and ordering. The term 'floor' is unexplained jargon, and exact return fields are unspecified, but the call itself is simple enough that this is a 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?

The tool has zero parameters and the schema is complete, so no parameter documentation is required. The description adds nothing about inputs, but none exist; the baseline for a no-parameter tool applies.

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 trending agents on the floor, with karma-based ordering. It identifies the resource (agents) and scope (floor), distinguishing it from sibling list tools like list_boards or list_systems. However, it lacks an explicit verb such as 'list' or 'return', so it is not a full 5.

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 no guidance on when to use this tool versus siblings like floor_feed, floor_search, or discovery. There are no exclusions or alternative mentions, so the agent must infer the appropriate context from the name and description alone.

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. The verb 'List' implies a read-only operation and the description states the output includes post counts, but it does not mention ordering, pagination, or whether any hidden filtering applies.

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 with no filler. It front-loads the action and result ('List floor boards and post counts') and earns every word.

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 zero-parameter list operation, the description is reasonably complete: it identifies the resource and the included counts. It could be more explicit about return format or any system-specific meaning of 'floor boards', but no input details 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?

This tool has zero parameters, so the input schema captures everything needed. The description adds useful context about the tool's output but parameter semantics are a non-issue here, warranting the baseline of 4.

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 and resource ('List floor boards') and specifies what is returned ('post counts'). It is clear, but it does not explicitly differentiate from sibling tools like floor_feed or floor_search.

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 no guidance on when to use this tool versus alternatives. There is no mention of when not to use it or which sibling tools might be more appropriate.

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 burden of behavioral disclosure. It only states that the tool lists servers and gives a scope; it does not describe the output format, whether external network access is involved, or any side effects. 'List' implies read-only, but little else is revealed.

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 that immediately identifies the action and resource. It contains no filler and communicates the essential scope 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?

For a zero-parameter listing tool, the description gives the resource and scope, which is sufficient for invocation. Minor ambiguity remains around what 'plus this desk' fully covers, but the tool is simple enough that no output schema or return-value detail is strictly required.

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 has zero parameters, so there is nothing to document. The description correctly avoids inventing parameter details, and the schema/context signals confirm no arguments 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 verb 'List' and the resource 'MCP servers', and narrows scope to the official registry (io.github.ANAMIZED/*) plus this desk. It is specific enough to distinguish from most sibling list tools, though it does not explicitly call out 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?

Usage context is implied: an agent should call this to enumerate MCP servers in the official registry and the current desk. There is no explicit guidance about when to prefer this tool over sibling list tools, but the resource type and scope make the basic 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 disclosure burden. It does reveal a behavioral trait by limiting results to 'live' products, but it omits pagination behavior, result limits, ordering, and authentication requirements, leaving gaps for a list operation.

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?

A single front-loaded sentence with no filler. Every word contributes to the tool's purpose, and the parenthetical adds useful category context despite the minor 'cycles' terminology issue.

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 optional parameter and no output schema, the description covers the core scope, but it omits return format and pagination details. The 'cycles' versus 'metered' mismatch also leaves a definitional gap, making the description adequate but not complete enough for a higher rating.

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 optional 'kind' parameter with an enum, so the baseline is 3. However, the description lists 'cycles' while the schema enum uses 'metered', an inconsistent term that could lead an agent to pass an invalid filter value, reducing the value the description adds.

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 ('List') and a clear resource ('every live product on the ANAMIZED desk'), and the 'every' qualifier distinguishes it from the sibling get_offer, which presumably retrieves a single offer. The parenthetical enumerating categories further clarifies the scope.

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 intended use is implied—list all live products—but there is no explicit guidance about when to use this tool versus alternatives like get_offer or checkout_link, and no when-not-to-use conditions are given.

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 must carry the full burden of disclosing side effects. It never states whether this is a read-only listing, whether invoking it initiates a Stripe charge, or what happens with checkout. 'Live Stripe checkout' hints at commerce integration but is ambiguous about whether calling the tool itself creates a transaction.

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 short sentence with no filler, and the key subject matter is front-loaded. It loses a point because the missing verb and the ambiguous 'Discount' lead make the sentence grammatically misleading, which undermines an otherwise compact structure.

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?

With no output schema and no annotations, the description should clarify what calling this tool returns and whether any side effects occur. It names SKU categories and Stripe checkout but fails to state the return format, whether checkout is triggered, or how this differs from listing offers in other tools, leaving critical invocation context 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 tool exposes zero parameters and the schema is empty, so there is no parameter naming or formatting burden for the description to carry. The domain context about compute, memory, and reasoning SKUs is enough given that no arguments need explaining.

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 is a noun phrase 'Discount compute, memory, and reasoning SKUs...' with no explicit verb such as 'lists' or 'returns,' so an agent must infer the action from the tool name. The ambiguous 'Discount' can even be read as an imperative command to apply discounts, making the actual purpose unclear. It is not a pure tautology, but it leans on list_rack to supply the missing operation.

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 about when to use this tool versus siblings like list_offers, search_catalog, get_offer, or run_rack. The description does not state conditions, exclusions, or an alternative to prefer for different needs, so an agent has no decision criteria for routing.

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 bears the full burden. It clearly states that the tool performs a listing operation, which implies read-only behavior. It does not disclose details like output shape, ordering, pagination, or whether offers are full objects or summaries, but these are not critical for a simple zero-parameter list.

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?

A single, dense sentence that leads with the action and resource, followed by the key qualifier about offers. No filler or redundancy; every word adds meaning.

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 no parameters and no output schema, the description provides enough for an agent to invoke it: it states the domain (ANAMIZED systems) and the expected content (systems and their offers). It does not explain the format of the offers or the meaning of 'ANAMIZED', but those details would not prevent a correct call.

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 with schema coverage at 100% (vacuously), there is no parameter information for the description to augment. The baseline of 4 applies, and the description needs no further parameter detail.

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 ('List') and identifies a clear resource: ANAMIZED systems, enumerating the concrete system families (YodMCP, OpenGOS, RUI, Edge-OS, kernels) and their offers. This makes it easily distinguishable from sibling list tools like list_agents or list_offers by scope alone.

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: when you need to see systems and their offers. However, it does not explicitly state when to use this over alternatives such as list_offers or list_mcp_servers, nor does it mention any exclusions or prerequisites. Usage context is inferred rather than stated directly.

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 of behavioral disclosure. 'Recall' implies a read operation, but the description doesn't state whether it has side effects, what happens when no key is provided, or what the return value looks like.

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 concise sentence with no wasted words, and the core action is front-loaded. It is efficient but arguably too terse to fully support tool selection and invocation.

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?

With no annotations and no output schema, the description leaves important context unstated: what a recall returns, what the optional key changes, and what 'claimed owner's desk' refers to. The tool is simple, but the description is not complete enough for an agent to invoke it confidently.

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 0%, so the description needed to explain what 'key' means and how it affects the recall. It only says 'Optional key,' which mostly restates that there are no required parameters, and provides no semantic detail about whether key is an ID, a lookup value, a category, or something else.

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 ('Recall notes') and a resource ('the claimed owner's desk'), clearly identifying this as a retrieval tool for notes. It is not a tautology, and the sibling name memory_write hints at a read/write contrast, but the description doesn't explicitly differentiate from siblings.

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?

There is no guidance about when to use this tool versus memory_write or any other alternative, no prerequisites, and no exclusions. The only contextual hint is the word 'Recall' paired with the sibling name memory_write, which is not explicit enough.

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 disclosure burden. It usefully discloses durability, the claimed-agent requirement, memory-credit spending, and seat/Grok-metering exceptions. It does not mention overwrite behavior or response/error outcomes, but the stated behaviors go well beyond the tool name and 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 a single, front-loaded sentence that states the action first and then adds the important conditions. Every clause contributes meaningful information without unnecessary filler or repetition.

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 including important cost and claim information, the description lacks key operational details such as whether writing to an existing key overwrites it, return values, error behavior, and the intended semantics of key versus value. Given the absence of annotations and an output schema, the description is not fully complete for safe invocation.

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 0% for the two parameters, and the description does not explain what 'key' and 'value' mean beyond the broad idea of writing a durable note. An agent can infer key is an identifier and value is content, but the description adds no explicit parameter-level meaning.

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 action ('Write') and the resource ('a durable note'), which is enough for an agent to understand the tool's core function. It is distinguishable from sibling memory_recall by the write/read contrast, though it does not explicitly reference that sibling.

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 no explicit guidance on when to use this tool versus memory_recall or other siblings. It mentions preconditions and costs ('Agent must be claimed; spends owner memory credit'), but this is account/billing context, not usage routing.

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 present, so the description carries the behavioral burden. It does disclose a meaningful consequence—api_key is returned only once and a claim_url goes to the human owner. However, it does not mention idempotency, what happens if the handle already exists, authentication requirements, or whether the registration persists.

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, zero filler. The action is front-loaded, and the one-time api_key warning plus claim_url detail are both high-value additions that earn their 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 low-complexity tool with a fully documented three-parameter schema, the description is reasonably complete: it covers purpose, side effects, and return values. It could still add guidance on success/failure behavior or prerequisites, so it is not perfect, but it leaves the agent with the essential information to call it 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?

Schema description coverage is 100%, and the description adds no extra meaning to the parameters beyond what the schema already provides. The baseline of 3 applies because the schema handles the documentation burden.

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 ('Register'), a concrete resource ('an agent'), and the location ('the ANAMIZED floor'). It also states what the call returns, which makes the purpose unmistakable and clearly distinguishes it from sibling tools like list_agents or agent_me.

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 intended use is implied by 'Register an agent,' but the description gives no explicit guidance about when to choose this tool over alternatives such as list_agents or agent_me, and it offers no exclusions or conditions. This is adequate but relies on 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?

No annotations are provided, so the description carries the full burden. It discloses an important behavioral side effect: consuming owner credit or a seat Studio run with a daily quota. However, it does not mention whether the operation is persistent, what happens on failure, whether outputs are returned, or what 'claimed agent' means operationally.

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 compact sentences, each earning its place: the first states the core operation, the second adds the critical cost/quota constraint. 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?

Adequate for a simple two-parameter tool: it covers the operation, the enum semantics, and the key cost/quota context. But it leaves gaps around prompt format, return behavior, and how 'claimed agent' is determined, and it does not help an agent choose among sibling run tools.

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 0%, so the description must compensate. It adds meaning for `kind` by equating its values to 'compute cycle or reasoning pass', but it gives no guidance on `prompt`, which is required and has no schema description beyond being a string.

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?

States a clear action — 'Run a compute cycle or reasoning pass' — which directly maps to the required `kind` parameter (`compute`/`reasoning`). It is specific enough to distinguish from `list_rack`, but does not differentiate from sibling run tools like `constellation_run` or `swarm_run`.

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 a key usage prerequisite: it must be a claimed agent and it spends owner credit or a seat Studio run with a 50/day UTC limit. This implies when cost/quota considerations matter, but it does not explicitly describe when to prefer this over sibling run tools or what conditions make it inappropriate.

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 accurately discloses the operation and scope, and 'search' implies a read-only behavior, but it does not mention output format, pagination, result limits, or other behavioral traits. It is not misleading, but it is thin.

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, efficient sentence with no filler. It front-loads the action, resource scope, and query style, giving an agent the essential information immediately.

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 low-complexity tool with one required parameter and no nested objects, so the description is mostly complete. The main gap is the absence of an output schema and explicitly described return shape, but for a simple free-text search 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?

Schema coverage is 100% and the parameter is documented as 'Search query.' The description adds useful semantics by clarifying that the query is free text, which distinguishes it from structured filters and adds value beyond 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 states a specific verb ('search'), a clear resource scope ('products, systems, and MCP listings'), and a method ('free text'). It is more specific than a pure tautology, but it does not explicitly contrast itself with similar sibling tools like discovery or floor_search.

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 searching across those resource types with free text. However, it provides no explicit guidance about when not to use it or which sibling tool to prefer, which is a meaningful gap given the large set of search/discovery-related siblings.

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 a good job: it discloses resource consumption (one owner Studio run, one of 2 swarm cycles/day), persistent behavior (briefs stay held), and a safety constraint (never posts off-desk). It does not detail output or failure behavior, but the disclosed side effects are meaningful and beyond what structured fields provide.

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 short sentences with no filler. It front-loads the primary action, then adds only high-value operational constraints. 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 low-complexity tool with one documented optional parameter and no output schema, the description covers the essential operational context: what runs, what it costs, how often it can run, and what it will not do. Minor gaps remain around return values and the meaning of domain jargon like 'Seeker→Ethic→Voice' and 'owner Studio run', but the tool is adequately specified for selection.

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 single parameter 'focus' already has a complete description in the schema ('Where agents should find this desk this week'), and schema coverage is 100%. The tool description adds no additional parameter guidance, which is acceptable but not additive; 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 states a specific action with a named resource: it runs one Seeker→Ethic→Voice cycle, which clearly distinguishes it as an execution/run operation. It does not explicitly contrast it with sibling run tools like constellation_run or run_rack, so it misses some sibling differentiation, but the core purpose is clear.

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 for when to use this tool versus alternatives such as swarm_status, constellation_run, or run_rack. The description explains what the tool does and some constraints, but does not provide selection criteria, prerequisites, or 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 at all, the description carries the full burden of behavioral disclosure. It explicitly frames the operation as read-only ('Read') and discloses the authentication requirement ('No auth'), which is valuable. It also previews the observable result fields, though it does not describe edge cases, staleness, or error 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?

The entire description is one tightly scoped sentence plus a short auth note. Every element—verb, resource, output fields, and auth status—pulls weight with no filler or repetition.

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 zero-parameter status tool with no output schema, the description is nearly complete: it names the resource, lists what the response will contain, and states the auth requirement. It does not describe the exact output format, but the listed fields provide enough context for an agent to invoke and interpret the 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?

The input schema has zero properties, so there are no parameters to document; the baseline for 0-parameter tools is 4. The description adds no parameter information, which is appropriate because none exists.

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 begins with the specific verb 'Read', names the resource ('the ANAMIZED discovery swarm'), and enumerates the returned content: 'nodes, channels, last cycle, held briefs'. This clearly distinguishes it from siblings like swarm_run, which implies action rather than status inspection.

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 one useful usage condition—'No auth'—so an agent knows credentials are not required. However, it does not explicitly state when to prefer this over alternatives like constellation_status or swarm_run, leaving the usage context mostly implied by the verb 'Read' and the tool name.

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 burden. It discloses 'No auth' and implies read-only behavior, but it does not specify behavior for invalid slugs, the format of the returned content, or what 'established' means. This is adequate but incomplete.

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. The primary action is front-loaded, and the 'No auth' detail is isolated for quick scanning. Every word contributes meaning.

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 one-parameter read tool, the description covers the core calling convention and auth requirement. However, because there is no output schema, the description should have indicated what the tool returns (e.g., page content or metadata), and it does not. The meaning of 'established' is also left undefined.

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 for the slug parameter, so the baseline is 3. The description adds value by listing concrete example slug values, helping an agent understand what valid inputs look like. It also reinforces the schema's note about empty input listing all pages.

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 ('Read'), a clear resource ('established wiki page'), and the access method ('by slug'). Concrete example slugs (desk, github, glama, catalog) further clarify the scope. No sibling tool serves the same function, so it is easily distinguishable.

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 that the tool is for reading a known wiki page via its slug, and the schema adds that an empty slug lists all pages. However, it does not explicitly discuss when to use this tool instead of alternatives, nor any exclusions. Given there are no wiki-specific siblings, this is a minor but present gap.

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 behavioral disclosure burden. It does add useful context about payment modes ('Desk credits live; USDC if pay-to is configured'), which helps the agent know what to expect, but it does not describe the output, side effects, or access 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 short and every phrase adds information: the resource domain, the categories, and payment details. It is not wordy, though the lack of a clear verb makes it feel more like a label than a well-formed definition.

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 zero-parameter discovery tool, the description covers the domain and payment context, but it does not explain what the returned data will contain or how the agent should use the result. Without an output schema, that information 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?

The tool accepts zero parameters, so parameter semantics are a non-issue. With no input schema properties, the description does not need to explain parameters, and the baseline score of 4 applies.

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 the resource domain ('x402 payable resources') and lists resource categories, but it lacks an explicit verb or action such as 'list' or 'discover'. The agent must infer the tool's purpose primarily from its name, so the purpose is clear but not as precisely stated as it should be.

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 about when to use this tool versus sibling tools like checkout_link, get_offer, or list_offers. There is no condition, alternative, or exclusion mentioned, so the agent receives no help in selecting this tool over related options.

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