Approve or reject a pending QA story

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

The description adds behavioral context beyond annotations: 'Approved stories are enabled in the QA schedule immediately.' This tells the agent the consequence of approval. Annotations already indicate idempotent and non-destructive behavior, which is consistent. 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?

The description is extremely concise: two sentences that front-load the purpose and immediate consequence. Every sentence adds value with no redundancy.

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

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

Given that the tool has no output schema, the description sufficiently explains the effect on the system (immediate enabling in QA schedule). It covers the key behavior for a simple approval action, though it could mention what happens on rejection or any prerequisites like permissions.

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 all three parameters, each with clear descriptions. The parameter types and required status are well-defined. The description adds no additional meaning beyond the schema, so a 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 title and description clearly state the tool approves or rejects a pending QA story. It specifies the scope ('pending_review') and the immediate effect of approval. This distinguishes it from sibling tools like 'list_pending_review_stories' which only list 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 explicitly says to use on stories in 'pending_review' status, implying when it's appropriate. It does not list alternatives or when not to use, but given the context, the guidance is clear enough for an AI agent to select it over list/run tools.

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