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

The description goes well beyond the annotations by disclosing tag creation on first use, the 5-tag-per-transcription cap with skip behavior, rejection of more than 10 IDs, and the required OAuth 2.1 user access token. These are exactly the behavioral details an agent needs and that annotations do not provide.

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?

Every sentence in the description earns its place: the core operation, the motivating use case, character/tag limits, overflow behavior, and authentication requirement. The most critical information is front-loaded without unnecessary 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 relatively simple two-parameter batch operation, the description covers prerequisites, input constraints, behavioral edge cases, and authentication. No essential information is missing for selecting and invoking the tool correctly, even though there is no output schema.

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?

Even though schema coverage is 100%, the description adds meaningful parameter-related semantics: tags are created if absent, a transcription can hold at most 5 tags with further tags skipped, and passing more than 10 IDs causes refusal rather than truncation. This adds real behavior beyond the schema's basic constraints.

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—adding tags to existing transcriptions—and includes a concrete use case. It clearly distinguishes itself from read-only sibling tools like list_tags and list_transcriptions by emphasizing the mutating batch operation on up to 10 transcriptions.

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 to use this tool ('label these interviews as Q3') and explains that tags need not pre-exist. It does not explicitly name alternatives or exclusion conditions, so it falls just short of a perfect score.

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