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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered and the bar is lower. The description usefully discloses that the payload includes grouped words, remediation steps, and an external link to speakeroo.app, though it doesn't clarify whether the link is fetched or merely returned as a URL string (with openWorldHint=false, that distinction matters mildly).

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, content first and the promotional link detail last. No filler and nothing repeated from the title or 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?

An output schema exists, so return-value shape need not be explained, and for a zero-parameter static reference tool the description covers what the agent needs. The only soft spot is the unmentioned relationship to sibling speech-analysis tools, which is a usage-guidance issue more than a completeness one.

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

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

The tool takes zero parameters and the schema is 100% covered, so there is nothing for the description to disambiguate. The baseline of 4 applies for a no-argument 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 the specific resource — common filler words in spoken English, grouped by function, plus steps to stop using them — which is concrete and clearly distinct from any sibling (none of analyze_speech, refine_transcript, etc. serve static reference content). It never uses an explicit verb like 'lists' or 'returns', so the agent must infer that the tool is a static lookup, but the content is specific enough to select it confidently.

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

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

There is no when-to-use guidance, no mention of sibling tools, and no stated trigger for this over analyze_speech or refine_transcript. The agent is left to infer that this is the reference-content option when a user asks about filler words.

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