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

Goes well beyond the annotations: it discloses the authorship ('under your instructor name'), the audience ('visible to every student of the course'), the default per-call confirmation with an opt-out, and the auth requirement (Cotlet API key with access to this app). This is rich context for a write tool flagged openWorldHint=true.

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?

Front-loads the action and keeps the safety/visibility notes short. The confirmation point is stated twice ('By default you confirm each call' and 'confirm with the user before each call'), which is mild redundancy but not bloat.

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 two-parameter mutation with no output schema, the description covers the essentials an agent needs: external visibility, confirmation expectation, and auth. It omits whether an answer can be edited/retracted afterward, a minor gap.

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?

Schema description coverage is 100%, so both parameters (body, question_id) are already documented in the schema. The description adds no syntax, format, or length guidance beyond what the schema provides, so the baseline 3 applies.

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?

States a specific verb and resource ('Post an instructor answer in the course Q&A') and immediately scopes it as an instructor answer visible to all students. This distinguishes it from siblings like udemy_list_questions and udemy_respond_to_review without needing the schema.

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?

Gives a clear operational directive: 'Reaches other people: confirm with the user before each call,' plus the default confirmation behavior and how to disable it. It does not explicitly name alternative tools or when-not-to-use, so it stops short of full when/alternatives guidance.

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