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

The annotations already indicate non-read-only (readOnlyHint=false), non-destructive (destructiveHint=false), and idempotent (idempotentHint=true). The description adds valuable behavioral context: it explains the effect (cancels pending steps, keeps history), reversibility, and how to resume (via dashboard). The only gap is not detailing the exact return behavior or if any side effects beyond pending steps occur, but the annotations cover the core safety profile, so the description adds sufficient value.

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: three sentences that each serve a purpose. The first sentence states the action and effect, the second mentions reversibility and how, and the third gives usage prioritization. It is well-structured and front-loaded with the most important information about the default usage.

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

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

The tool has a simple single-parameter schema with full coverage, annotations capturing key traits, and no output schema. The description fully explains the action, the difference from the main sibling, and reversibility. No missing information prevents an agent from calling 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?

The schema description coverage is 100%, meaning the parameter 'reminder_id' is already documented in the schema. The description does not add extra detail about the parameter format or semantics beyond what the schema provides, so the baseline of 3 is appropriate as the description doesn't need to compensate.

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 ('Stop'), the resource ('a reminder'), and the scope ('cancel its pending steps') while distinguishing it from cancel_reminder by mentioning what is preserved (reminder and history). This differentiates it from the sibling tool and leaves no ambiguity about its primary function.

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 provides when-to-use guidance by stating it is the 'DEFAULT way to stop a reminder' and names the alternative (cancel_reminder) with a clear condition ('unless the user explicitly asked to delete it or stop it permanently'). This gives direct decision criteria, which is excellent usage guidance.

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