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vet

Read-only

Analyze a GitHub issue to determine if it's a good candidate for contribution. Checks for clarity, scope, assignees, and staleness.

Instructions

Analyze a GitHub issue to determine if it is a good candidate for contribution. Checks for clarity, scope, existing assignees, and staleness.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issueUrlYesFull GitHub issue URL to vet (e.g. https://github.com/owner/repo/issues/123)
Behavior4/5

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

Annotations declare readOnlyHint=true, so the tool is read-only. The description adds value by specifying the exact criteria it checks (clarity, scope, assignees, staleness), which are beyond the annotation. However, it doesn't disclose output format or any potential restrictions (e.g., authentication).

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

Conciseness5/5

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

The description is a single, clear sentence that efficiently conveys the tool's function and checks, with no wasted words.

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

Completeness4/5

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

Given the tool's simplicity (one param, no output schema), the description adequately covers its purpose and criteria. It could hint at the return value (e.g., pass/fail), but the information provided is sufficient for basic use.

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

Parameters3/5

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

Only one parameter with a full description in the schema (URL format). The description doesn't add new semantic meaning beyond the schema, so it meets baseline without enhancing understanding.

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

Purpose5/5

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

The description clearly states the tool's purpose: to analyze a GitHub issue for contribution fitness by checking clarity, scope, assignees, and staleness. It distinguishes itself from sibling tools like 'read' or 'search' by focusing on vetting rather than just reading or listing.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. It doesn't mention when not to use it (e.g., if the issue is already vetted) or compare with siblings like 'read' or 'search'.

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

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