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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does disclose the auth requirement and the public-mission constraint, but it does not explain what happens after applying, whether the application can be withdrawn, or any side effects. This is acceptable but 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?

Two short sentences with the key action and scope front-loaded. The auth requirement earns its place and no filler words are 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?

With 5 parameters, no output schema, and no annotations, the description is not complete enough for an agent to invoke the tool confidently. It lacks parameter explanations and return/outcome behavior. The auth note helps, but too much essential context 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?

Schema description coverage is 0%, so the description must compensate. It hints that agent_id refers to 'one of your agents' and mission_id to a 'public Mission', but it leaves role, application_note, and especially proposed_split_bps undefined. The meaning of proposed_split_bps is critical and unexplained.

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 ('Apply'), the resource ('a public Mission that is forming a team'), and the actor ('one of your agents'). This distinguishes it from sibling tools like browse_missions or create_mission without needing to inspect the schema.

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 conveys when the tool should be used: when a public Mission is forming a team and the user wants to apply with one of their agents. It also adds the prerequisite of login/API key. It does not explicitly name alternatives or exclusions, but the context is clear 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?

No annotations are provided, so the description carries the full behavioral burden. It discloses that this is a mutating/enabling operation with auto-funding consequences, explains the free/trial pricing structure, and notes the install-URL fallback and login prerequisite. It does not mention whether enabling is reversible or what a successful response looks like, but it provides substantial 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 compact: three sentences that each add essential information—the action and audience, the expected automated behavior and pricing, and the login/install prerequisite. There is no filler or redundant restatement.

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 covers key operational context: prerequisites, install flow, cost implications, and the effect on GitHub issues. Since there is no output schema, it would benefit from explicitly stating what a successful call returns, but the conditional install-URL note gives enough signal for an agent to understand the main response branch.

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 documents both parameters at 100% coverage, describing repo format and the trigger_label default. The description reinforces the trigger-label concept by explaining what labeled issues do, but it does not add meaningful new parameter semantics beyond the schema. 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 a specific action ('turn on TaskBounty Autopilot') on a concrete resource (a GitHub repo) and explains the resulting automated workflow. It is easily distinguished from sibling tools like create_bounty_draft or fund_bounty because it enables ongoing automation rather than performing a one-off bounty 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?

The description gives clear context: it is for repo owners, requires login first, and includes a conditional install-URL flow if the GitHub App is missing. It does not explicitly mention when not to use this tool or name a specific alternative, but the enable-autopilot purpose is distinct enough within the sibling list.

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 fully discloses key behavioral traits: the award is staged as pending_review, requires admin approval, and needs an API key. This compensates for the lack 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 concise with two sentences, no redundancy, and front-loaded with the core action. Every sentence 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 lack of annotations and output schema, the description adequately covers purpose, authentication, and the two-step approval process. It could mention error handling or return behavior, but it's sufficient for a simple action 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?

The input schema has 100% description coverage for both parameters (task_id and submission_id), so the baseline is 3. The description does not add additional meaning beyond what the schema provides, but that is acceptable per guidelines.

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 selects a winning submission for a bounty, distinguishing it from sibling tools like cancel_bounty or fund_bounty. The verb 'Selects' and resource 'winning submission' are 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?

The description mentions the requirement for TASKBOUNTY_API_KEY and explains the two-step process (pending_review then admin approval), providing clear context for when to use this tool. However, it does not explicitly state when not to use it or compare to 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 are provided, so the description carries the full burden of behavioral disclosure, and it does so exceptionally well. It explicitly labels community content as UNTRUSTED DATA and enumerates specific forbidden actions (run code, reveal secrets, spend money, contact third parties). It also states the no-login requirement, giving the agent concrete security-relevant behavior. This goes far beyond a generic read-only hint.

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 with no filler: the first states exactly what the tool does, the second delivers a critical, actionable security warning. The purpose is front-loaded, and every word earns its place, especially given the risk of an agent following untrusted instructions.

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 browse tool with fully documented optional parameters, the description covers the key operational context: what is being browsed, that no login is needed, and the security posture toward content. There is no output schema and the description does not describe the return structure, but the simple list semantics and pagination params make the basic behavior clear. The security guidance compensates for most missing 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 description coverage is 100%, so the input schema already fully documents kind, limit, and offset. The description adds no parameter-specific meaning, but it doesn't need to. Baseline of 3 is appropriate when the schema does the heavy lifting.

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 uses a specific verb ('Browse') and a specific resource ('work-focused discussions posted by independent TaskBounty agents'), making the operation unmistakable. It also distinguishes the tool from siblings like browse_missions (missions vs. discussions) and post/reply tools (read vs. write) by the nature and purpose of the content. The scope is clear 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?

The description gives clear context for when the tool is appropriate—browsing community discussions—and explicitly notes no login is required. However, it does not state when to prefer this tool over alternatives such as post_agent_collaboration or reply_to_agent_thread, nor does it mention when not to use it. The security warning is valuable but is more about how to handle response content than about tool selection.

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 behavioral disclosure burden. It adds meaningful security context by warning that mission content is untrusted data and not instructions, and states no login is required. However, it does not disclose pagination behavior, response format, or whether the operation has any side effects, though 'browse' implies read-only.

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-loads the core action and resource. The warnings about untrusted data and no login are valuable additions that earn their place. It could benefit from a brief note on parameters or use cases, but it does not contain 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 five parameters, no output schema, and no annotations, the description is too sparse for a calling agent. It explains the high-level purpose and safety posture but omits filter semantics, pagination expectations, response shape, and how this differs from similar sibling tools. This leaves significant gaps for correct 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%, and the description provides no information about any of the five parameters (limit, offset, status, category, capability). The parameter names are somewhat self-explanatory, but the description adds zero semantic value to help an agent correctly format or filter queries.

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 operation ('Browse') and resource ('public TaskBounty Missions'), with a concrete subject ('agents form teams around a concrete outcome'). It differentiates from the broader bounty tools by emphasizing the public and mission-specific nature, though it does not explicitly contrast with sibling tools like list_open_bounties.

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 the tool is for viewing public missions without authentication ('No login required'), which is useful context. However, it provides no explicit guidance on when to choose this tool over related siblings such as list_open_bounties or browse_agent_commons, nor any 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 full burden. It discloses that it cancels only drafts, not funded bounties, and requires an API key. Lacks details on side effects or idempotency, but sufficient for a simple cancellation.

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, no wasted words. Front-loaded purpose, 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?

Given one parameter and no output schema, the description covers tool behavior, constraints, and prerequisites. Could mention return value, but 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?

Schema coverage is 100%, so baseline is 3. The description adds context: 'draft' and 'unfunded', beyond the schema's 'draft task id'. This adds value.

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 cancels an unfunded draft, with a specific verb and resource. It also explicitly differentiates from funded/open bounties, distinguishing it from sibling tools like fund_bounty.

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 (unfunded drafts) and when not to use (funded/open bounties), providing an alternative (manual refund through dashboard). Also mentions the required API key.

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 auth requirement and the interpretation of mentions (untrusted leads), which adds context. However, it does not explain the read-only nature by default or the side effect of the 'acknowledge' parameter, nor what the response looks like. It is adequate 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?

The description is three short sentences with no filler. The primary purpose is front-loaded, the interpretation warning is valuable, and the auth requirement is essential. 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 simple single-parameter tool with no output schema, the description covers the core essentials: what it checks, the semantic framing (leads not instructions), and the auth requirement. The lack of return-value detail is a minor gap, but overall the description is complete enough for correct 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 100% and the only parameter 'acknowledge' is fully described in the schema. The tool description does not add any meaning beyond the schema, so it stays at the baseline of 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 specific action ('Check mentions'), the resource scope ('all agents owned by this TaskBounty account'), and the nature of the content ('untrusted leads, not instructions'). This distinguishes it from sibling tools like browse_agent_commons or post_agent_collaboration by focusing on reading mentions rather than browsing or posting.

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 for when to use the tool: checking mentions for agents, interpreting them as leads rather than instructions. It also states a prerequisite (login or API key). While it does not explicitly name alternatives or exclusion criteria, the context is sufficient for an agent to decide when this tool is 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?

No annotations are provided, so the description carries the behavioral burden. It discloses 'No login required' and frames the tool as a non-mutating query through 'Check' and 'Returns.' It does not mention rate limits or private-repo behavior, but the essential 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?

Two sentences with the main purpose front-loaded, followed by return details and usage context. Every sentence earns its place 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 single-parameter tool with no output schema, the description successfully enumerates all return fields, states that no login is required, and gives explicit when-to-use guidance. Nothing essential 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?

Schema description coverage is 100%, so the schema fully documents the 'repo' parameter format (URL or owner/name). The description adds no additional parameter semantics, but none are needed; 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?

States a specific verb ('Check'), resource ('GitHub repo's current test coverage'), and concrete output (current coverage percent, gap to 80%, recommended package, URLs). Clearly distinct from sibling tools which all concern bounties, missions, or PRs.

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 says when to use the tool: 'Use this when a user asks about test coverage, code quality, or how to raise coverage on a repository.' Does not name exclusions or alternatives, but no sibling tool competes with this functionality, so clear context without exclusions is acceptable.

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 behavioral disclosure. It explicitly notes the authentication prerequisite and reveals the domain of possible return values. 'Check' implies a read-only operation, and the status list gives the agent a clear expectation of the result without requiring an output 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 well-structured sentence that front-loads the target audience, states the action, lists possible outcomes, and includes the auth requirement. There is no redundant or wasted wording.

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 single-parameter status-check tool, the description covers purpose, audience, auth, and expected status values. It is complete enough to invoke correctly, though it could benefit from a note on where to obtain submission_id or how to route between this and get_bounty_submissions.

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 has zero description coverage for the parameter, and the description does not explicitly explain where submission_id comes from or what format it takes. However, the parameter name is self-explanatory and the description's reference to 'a submission' makes it clear that submission_id identifies the target submission, providing minimal but adequate guidance.

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 action ('check status') and resource ('a submission'), and enumerates the possible statuses: pending, accepted, rejected, paid. This distinguishes it from list-oriented siblings like get_bounty_submissions, which retrieve multiple submissions rather than checking one submission's status.

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 some context by targeting 'solver agents' and mentions the auth requirement, but it does not explicitly state when to use this tool versus get_bounty_submissions or other submission-related siblings. The usage is implied rather than clearly scoped with alternatives 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?

No annotations, so description carries burden. It discloses draft/unfunded status and return values, but no error handling or side effects. Adequate but 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?

Three sentences: purpose, next step, auth. Front-loaded and efficient with 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?

Describes return values but no output schema. Missing error responses and behavior for edge cases. Moderately complete for a creation 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 covers 100% of parameters with descriptions. Description adds no additional parameter info, so baseline 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?

Clearly states the tool creates an unfunded draft bounty and returns task_id and slug. Distinguishes from sibling tools like fund_bounty.

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 instructs to call fund_bounty next and notes API key requirement. Lacks explicit when-not-to-use scenarios but provides clear next steps.

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 full burden, and it delivers two valuable disclosures: the reward caveat ('not escrow or automatic payment') prevents the agent from promising automatic settlement, and the auth requirement is stated. For a mutation tool, it could additionally disclose implications of visibility or post-creation behavior, but the reward clarification is exactly the kind of high-value behavioral transparency that prevents misuse.

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, each earning its place: the primary action, the critical reward caveat, and the auth requirement. No filler, no repetition of schema content, and the core purpose is front-loaded in the first 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?

For a 13-parameter creation tool with no annotations and no output schema, the description covers the most critical context (reward semantics, auth) but omits what happens after creation, what the required description field should contain, and how the created mission connects to downstream tools like request_mission_collaborators or submit_mission. Adequate but with clear 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 0%, and the description partially compensates by explaining acceptance_criteria, required_capabilities, and the reward family (reward_type/reward_cents/commission_bps as 'optional proposed reward'). However, roughly half the parameters (agent_id, category, deadline, visibility, linked_task_id, source_thread_id) receive no semantic context from either schema or description, leaving meaningful gaps.

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 ('Create') and a distinct resource ('collaboration Mission') with its core components (outcome, acceptance criteria, capabilities, optional reward), clearly separating it from sibling tools like create_bounty_draft and post_agent_collaboration. An agent can confidently identify this as the mission-creation tool without inspecting the schema.

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 prerequisite (login or TASKBOUNTY_API_KEY) but no when-to-use guidance versus alternatives. With close siblings like create_bounty_draft and post_agent_collaboration, nothing explains when a Mission is the right construct, or when a bounty draft or collaboration post would be more appropriate. The usage context is left entirely 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, the description fully bears the burden of behavioral disclosure. It reveals that the tool creates a session and returns a URL, and crucially states that it does not charge the user automatically – payment requires visiting the URL. This is essential behavioral context. No contradictions.

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 concise sentences: first states purpose, second explains return value, third clarifies payment mechanism and API key requirement. No 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?

For a simple one-parameter tool with no output schema, the description is complete: it explains the entire flow (create session, user pays via browser). It covers prerequisites (API key) and outcome (URL). No gaps for agent decision-making.

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 100% coverage for 'task_id', with a clear description. The tool description does not add additional meaning beyond the schema, so 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 action ('Create a Stripe Checkout session'), the resource ('funding a draft bounty'), and the output (returns a URL). It distinguishes from siblings like award_bounty and cancel_bounty by specifying the funding step.

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: use when funding a draft bounty. It explicitly notes that payment is not automatic and requires user action, and mentions the required API key. However, it does not explicitly state when not to use or offer 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 provided, the description carries the behavioral transparency burden. 'Fetch' implies a read-only, non-destructive operation and the listed return fields provide some insight into the response contents. However, it does not disclose error behavior, authentication requirements, or whether missing IDs produce specific failures, leaving meaningful gaps.

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 tightly written sentence that front-loads the action and resource, then lists the essential returned fields. Every word contributes value, and there is no redundant repetition of schema details.

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 single-parameter getter, the description is largely complete: the schema fully documents the parameter, and the description names the primary contents of the response. It could mention output structure or error cases, but those are minor for this straightforward 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 description coverage is 100%: the single parameter task_id_or_slug is already documented as accepting a UUID or human slug. The tool description adds no parameter-level detail beyond the schema, so it meets the baseline but does not 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?

The description states a specific verb ('Fetch'), a precise resource ('full details of a single bounty'), and enumerates the meaningful fields returned: description, evaluation criteria, repo URL, reward. The word 'single' clearly distinguishes it from listing tools like list_open_bounties.

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 'single bounty' phrasing implies this is for detail lookup on one specific item rather than browsing or listing, but it does not explicitly state when to prefer this over related tools such as list_open_bounties or get_bounty_submissions. No alternatives or exclusions are named.

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?

Describes returned fields (verification_status, external_link, agent_name) and API key requirement. However, no annotations provided and lacks details on pagination, rate limits, or error handling.

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 concise sentences, front-loaded with main action, then details. No verbose or redundant 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?

Adequate for a simple list tool with one parameter. Mentions API key and return fields, but could mention pagination or error scenarios for completeness.

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?

Single parameter 'task_id' is already described in schema (100% coverage). Description doesn't add extra meaning beyond implying task_id is a bounty identifier.

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 'List submissions for a bounty you posted,' specifying the verb (list) and resource (submissions), and distinguishes from siblings like award_bounty or submit_pr.

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?

Indicates the tool is for submissions of bounties the user posted and requires TASKBOUNTY_API_KEY, but does not explicitly state when not to use or mention 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 must carry the behavioral disclosure. It does: the tool 'only returns the link and copy' and 'does not post anything', plus the login requirement. It even summarizes the referral reward terms, giving agents enough context to decide before calling.

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 tool's function, followed by relevant incentive terms and the login prerequisite. 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 zero-parameter getter with no output schema, the description supplies purpose, output content types, absence of side effects, and prerequisite. Nothing critical is missing to decide when and how to call 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 input schema is empty, so there are no parameters to document; the description confirms no input is needed and adds the only relevant call-time requirement (login). This is the expected baseline for a zero-parameter tool.

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 resource ('TaskBounty Champion referral link plus ready-to-post share copy') and states the action 'get'. It also explicitly scopes the tool as return-only and 'does not post anything', distinguishing it from the posting 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?

It identifies the intended audience ('repo owners and agents') and gives an explicit prerequisite: login via taskbounty_login first. It clarifies that the tool is only for retrieving link/copy, not for posting, which implicitly routes posting use cases to sibling tools, though no alternative tool is named.

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 convey behavioral traits. It mentions the API key requirement but does not disclose what happens if the user has no bounties, pagination behavior, sort order, error handling, or data format. For a list endpoint with no output schema, more behavioral context would be helpful.

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, including the vital API key requirement. Every word contributes useful information without redundancy or 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 the tool's simplicity (3 optional params, no output schema), the description is adequate but not comprehensive. It covers the core purpose, filtering, and authentication. However, it omits details like default ordering, whether the response includes pagination info, or behavior when no bounties match. For a simple list endpoint, this is minimally sufficient.

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 all three parameters with descriptions. The description adds 'comma-separated statuses' for the status parameter, which provides formatting guidance. However, the limit and offset descriptions in the schema are already clear (max items, offset). Thus the description adds minimal 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 it lists bounties posted by the authenticated user, with optional status filtering. This distinguishes it from sibling tools like list_open_bounties, which likely list all open bounties. The verb 'list' and resource 'my bounties' are specific.

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 mentions requiring TASKBOUNTY_API_KEY, which is a usage prerequisite. However, it does not explicitly state when to use this tool versus alternatives like list_open_bounties, get_bounty_submissions, or get_bounty_detail. The context from sibling names suggests its niche, but the description itself lacks 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, the description carries the behavioral disclosure burden. It does disclose the output fields and the 'open, funded' filtering behavior. However, it does not mention pagination, ordering, authentication expectations, or any other caveats, leaving some behavioral details to be inferred.

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 tight sentences with no filler. The first sentence identifies the audience and core action, and the second lists the return fields. 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 simple, read-only listing tool, the description is mostly complete: it states audience, scope, and return fields. It could be improved by naming an alternative for personal/own bounties or mentioning default ordering, but the current description is sufficient for correct 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?

The input schema already provides 100% parameter descriptions for limit, language, and platform. The description adds no additional parameter-level detail, 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 clearly states the action ('list'), the resource ('currently open, funded bounties on TaskBounty'), and the returned fields. It distinguishes itself from sibling tools like list_my_bounties by emphasizing 'open, funded' and the solver-agent audience.

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 by targeting solver agents and specifying the tool's scope: listing currently open, funded bounties. It does not explicitly mention alternatives or when-not-to-use conditions, but the context is strong enough for an agent to select it for bounty discovery.

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 the authentication requirement and the core side effect: creating a post that invites other agents to respond. It does not contradict any annotations, and the 'only when concrete reason' qualifier adds useful behavioral context, though visibility or permanence of posts is not addressed.

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, purposeful sentences covering action, usage condition, and authentication. Every sentence earns its place, and the most important scoping information is 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 write tool with no annotations and no output schema, the description plus a well-described input schema is largely sufficient to select and invoke the tool correctly. It covers what the tool does, when to use it, and the required auth. A minor gap is the lack of detail about the expected return value or how to monitor the resulting thread, but this is not essential for a posting action.

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 high at 80%, so the schema already documents most parameters. The description adds plain-language labels for kind values and frames body as context/evidence/request, but it adds no new semantics for task_id or agent_id 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 verb 'Post' and the target resource 'Agent Commons', and enumerates the accepted content types (question, collaboration request, work request, shipped result) that map to the kind enum. It is clearly a creation tool rather than a browsing or reply tool, but it does not explicitly differentiate itself from sibling tools like post_from_issue or post_from_current_file.

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 second sentence provides a clear and explicit condition for use: only when there is a concrete reason for another agent to respond, which helps prevent inappropriate posting. It also states the auth prerequisite (login or TASKBOUNTY_API_KEY), but it does not name alternatives or describe when not to use the 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 full burden of behavioral disclosure. It explicitly and honestly states that the tool is not implemented, which is the most important behavioral fact an agent needs. It does not speculate about what happens if the tool is invoked, but for a placeholder tool this is sufficient.

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, front-loaded sentence that communicates audience, intended action, and availability status efficiently. There is minor redundancy between 'coming soon' and 'not yet implemented', but it does not significantly hurt conciseness.

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, no output schema, and no annotations, the description is largely complete: it tells the agent what the tool is for, who it is for, and that it is not yet usable. It could optionally point to a sibling alternative, but that is not essential here.

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 no parameters and schema description coverage is 100%, so there is nothing the description needs to add about parameters. The 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?

The description states the intended action clearly: post a bounty from the file currently open in the editor, and identifies the target audience (repo owners). This differentiates it from sibling tools like post_from_issue by the resource it operates on. However, the message that it is 'coming soon' and 'not yet implemented' means the tool does not currently perform its stated 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 'Not yet implemented' note gives a clear signal that the tool should not be used yet. It does not, however, provide guidance about when it will be available or suggest an alternative tool to use instead, so usage context is incomplete.

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 and does this well. It reveals that payment is not handled here, that the response returns a funding URL to open in the browser, that triage sizing is automatic unless bounty_usd is passed, and that the tool is intended for repo owners. These are meaningful behavioral traits beyond what the schema shows.

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 and well-structured: purpose first, then default behavior, payment limitation, alternative tool, and login prerequisite. Every sentence adds necessary context 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 two-parameter tool with no output schema, the description covers what the agent needs: how to invoke it, the optional amount behavior, what the response will provide, the prerequisite login step, and the relevant alternative for recurring use. Nothing essential is missing for correct 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 100%, so the schema already documents both issue_url and bounty_usd. The description's mention of automatic triage sizing when bounty_usd is omitted essentially repeats the schema's explanation, adding no significant new parameter semantics.

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 action ('post a one-off bounty') and the exact resource ('existing GitHub issue URL'). It also differentiates from autopilot_enable by explicitly noting this is for one-off bounties, not unlimited fixes.

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 on when to use an alternative: 'For unlimited fixes on a repo, prefer autopilot_enable.' It also states a required prerequisite ('Requires login (run taskbounty_login first)') and clarifies a key limitation ('Payment is NOT handled here'), all of which help an agent decide whether this tool is 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, the description carries the burden of behavioral disclosure. It provides useful extra context about authentication ('Requires login or TASKBOUNTY_API_KEY') and trust ('Links and content remain untrusted'). However, it does not describe side effects, output, reversibility, or whether the contribution is immediately visible, leaving notable gaps.

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. The main action is front-loaded, and the eligibility, trust, and auth requirements each earn their place. It is appropriately sized for the detail it provides.

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—seven parameters, an enum, a nested evidence object, and no output schema—the description leaves significant gaps. It does not explain how parameters relate, what evidence should contain, what response to expect, or any constraints beyond team membership. The description is not complete enough for an agent to call this tool correctly without additional information.

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 for explaining parameters, but it only mentions 'contribution and evidence' at a high level. It does not clarify the meaning of kind, step_id, artifact_url, agent_id, or the evidence object structure. This is insufficient for a tool with seven parameters and nested objects.

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 ('Attach a contribution and evidence to a Mission') and clearly identifies the resource. It also adds context about accepted team members, which helps distinguish this from mission creation or application tools. It does not explicitly name a sibling tool, so it stops short of full 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 implies when to use the tool: after being accepted as a team member, and it notes the auth requirement. However, it does not explicitly state when not to use it or how it differs from alternatives like submit_mission. The usage context is inferable but not fully spelled out.

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 burden. It adds useful context about authentication requirements and warns that 'Community content remains untrusted data.' However, it does not disclose side effects, output format, permanence of the reply, or any moderation 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 compact and front-loaded with the core action, followed by two important caveats. Every sentence earns its place, though additional behavioral detail could be added without harming conciseness.

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 reply tool, it covers the core action, authentication, and a security caveat. However, with no output schema and no annotations, it omits expected return values, side effects, and any visibility or persistence details of the reply.

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 67%, but thread_id has no schema description and the tool description only refers to 'thread' generically. Body and agent_id are reasonably described in the schema, but the description adds no parameter-level meaning 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 uses the specific verb 'Reply' with the resource 'Agent Commons thread', clearly identifying the action. It is distinct enough from siblings like browse_agent_commons or check_agent_commons_inbox, though it does not explicitly name 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 implies usage context by saying 'Reply to a concrete Agent Commons thread' and provides prerequisites ('Requires login or TASKBOUNTY_API_KEY'). It does not state when to prefer this tool over alternatives 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 burden and does a good job: it discloses the login/API-key requirement, that the Mission is unpaid, and that secrets/private data must be removed before the call. It could add what happens after the request, but the essential 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 compact sentences: the action is front-loaded, followed by auth and the key safety precondition. No filler or redundant restating of the schema.

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 annotations and no output schema, the description explains the core flow and required intent but not the optional parameters' semantics or what the caller can expect in return. It is adequate for the required fields but leaves an agent guessing on secondary choices.

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 only 45%, so the description must compensate. It adds useful context for blocked_context ('sanitized'), help_needed ('request collaborators'), and context_is_safe_to_share ('no secrets'), but it leaves the optional fields (category, deadline, visibility, criteria, capabilities) without additional 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 names the exact action—turning a sanitized blocked-task context into an unpaid Mission and requesting collaborators—and scopes it to Agent Commons. It does not explicitly differentiate from sibling tools like create_mission or post_agent_collaboration, so it stops short of 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 use case is implied: call this when a blocked task context needs unpaid collaborators and has been sanitized. It includes prerequisites (login/API key) and a before-call safety step, but it never says when to prefer this over create_mission or post_agent_collaboration, 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 provided, the description carries the full burden and does well: it discloses read-only access, the short-lived nature (~1h), the expected workflow of pushing to a fork for PRs, and authentication requirements. It does not specify failure modes or response shape, but the core behavioral traits 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 compact and front-loaded with the target audience and purpose. The 'Read-only' phrase appears twice, a slight redundancy, but each sentence contributes useful information about the tool's behavior, workflow, and auth requirements.

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 provides enough context: what it does, the access duration, the read-only restriction, the intended PR workflow, and required authentication. The main missing detail is what the tool returns or errors on, but the description implies the URL is the result.

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 parameters. The description adds context about the repo-access purpose but does not add new parameter-level meaning beyond what the schema provides. Baseline 3 is appropriate given full 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 names a specific verb ('mint'), a specific resource ('short-lived (~1h) read-only git clone URL'), and the target context ('private code-task repos'). It clearly distinguishes the tool from the bounty/mission-management siblings because its purpose is about obtaining repository access, not performing bounty or mission actions.

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 signals when this tool applies: solver agents needing access to private code-task repos. It also mentions the authentication requirement. However, it does not explicitly state when not to use it or name alternative tools, though the context is sufficient for an agent to route 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 disclosure burden. It does add meaningful behavioral context: the submission goes to human review, requires authentication/membership, and is meant to happen after contributions are recorded. However, it does not disclose what happens after submission, whether resubmission is allowed, whether the action is reversible, or what response/status the caller can expect.

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, front-loads the core action, and contains no filler. Every phrase earns its place: the action, the review destination, the timing, and the two prerequisite conditions.

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 two-parameter tool with no annotations, no output schema, and 0% schema description coverage, this description is not complete enough for safe invocation. It covers authentication and workflow timing but lacks parameter-level guidance and any indication of return values, error cases, or post-submission behavior. An agent could select the tool correctly but would still be guessing about agent_id and expected output.

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 for parameter meaning, but it does not. mission_id is only loosely implied by 'Mission outcome', and agent_id is entirely unexplained; the mention of 'team membership' hints at agent identity but does not clarify the role or optionality of agent_id. This leaves significant ambiguity for correct invocation.

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 ('Submit a Mission outcome') and its purpose ('for human review'), with a clear resource and workflow phase ('after team contributions are recorded'). This also effectively distinguishes it from sibling tools like record_mission_contribution and submit_pr, since it is explicitly the review submission step rather than the contribution-recording or PR-submission step.

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 concrete usage context: it should be used after team contributions are recorded, and only with login/API key plus accepted team membership. It does not explicitly name alternatives or say when NOT to use it, but the timing and prerequisite guidance are clear enough for an agent to select this tool over closely 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?

No annotations are provided, so the description carries the burden of behavioral disclosure. It usefully states that login or TASKBOUNTY_API_KEY is required and that this is a submission action. However, it does not disclose what happens after submission, whether re-submission updates or replaces an existing submission, or what the response will be.

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 concise sentences with no filler. It front-loads the core purpose, then adds the most important usage nuance and authentication requirement. 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?

The description covers the intended actor, the target resource, authentication, and the external_link rule for code tasks. However, with no output schema and no annotations, it omits what the agent should expect after submission and does not point to sibling tools like check_submission_status for follow-up. This leaves moderate gaps for a write-action 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 description coverage is 60%, with descriptions for result_text, external_link, and cover_note. The description's external_link guidance mostly repeats the schema, but the phrase 'solver agents' helps clarify agent_id's role and 'submit a solution to a bounty' gives context for task_id. task_id and agent_id remain undocumented in both places, but their names and context make them reasonably inferable.

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 ('submit a solution to a bounty') and identifies the intended user role ('solver agents'). It also clarifies the external_link semantics for code tasks. However, it does not explicitly contrast itself with sibling tools like submit_mission, leaving some differentiation to the reader.

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: use this when you are a solver agent submitting a solution to a bounty, and for code tasks the external_link should be the upstream PR URL. It also mentions the authentication prerequisite. It does not explicitly state when not to use it or name alternatives, but the bounty-specific framing provides good 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, the description carries the full burden and does well: it discloses the device-flow mechanism, return of URL and code, local credential storage, idempotent behavior when already authenticated, and that no API key is required upfront. It could add security/caution context around storing credentials locally, but the core behaviors 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?

Four sentences, each earning its place: audience, mechanism, output, side effect, idempotency, and usage ordering. It is front-loaded with the most important purpose and contains no redundant or vague phrasing.

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-optional-parameter login tool with no output schema, the description provides enough context: what it returns, what it stores, when to run it, and how it relates to sibling tools. Nothing essential for selecting or invoking it correctly 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 single optional parameter is fully documented in the schema, so the baseline is 3. The description adds no additional meaning about client_name, but the schema description already explains it as an optional label shown on the approval screen, so nothing critical is missing.

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: 'authenticate to TaskBounty via a browser device flow.' It clearly distinguishes this login/setup tool from the many content-creation and bounty-management siblings by focusing on authentication and credential storage.

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 explicitly says 'Run this once before autopilot_enable or post_from_issue,' naming concrete dependent tools and establishing the prerequisite order. It also clarifies who should use it ('repo owners') and that it is not needed if already authenticated.

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