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

Annotations mark this as a non-readonly, open-world, non-idempotent write, and the description adds real behavioral context beyond that: the note leaves the user's workspace to an external person, so no private data may be included; one call per distinct problem; and the agent must still complete the task and inform the user. These are disclosure obligations an agent could not infer from the structured fields.

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-loaded with the purpose, then the when-to-call criteria, then the exclusions. It is dense but nearly every clause carries routing or compliance value; the long parenthetical defining 'workaround' is justified by how easily that category is misjudged, though the paragraph is longer than strictly necessary.

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?

There is no output schema, and none is needed for a fire-and-forget report tool. Purpose, triggers, exclusions, timing, cardinality, privacy constraints, and the obligation to finish the user's task are all covered, leaving no gap an agent would need to guess at.

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%, including per-enum-value documentation for 'kind', so the schema already carries the parameter burden. The description adds only an indirect constraint (nothing private goes into the fields) and does not clarify any individual field's expected content. Baseline 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 first sentence states a concrete verb and target ('Files a note for Quillm's maintainer') and scopes it to product shortcomings rather than user data, which cleanly separates it from the sibling write_notes tool. An agent knows exactly what artifact is produced and who receives it without opening 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?

It enumerates explicit trigger conditions (missing capability, workaround, confusing error or guide, missing library) with an operational definition of 'workaround', and explicitly excludes cases ('Do NOT use it for problems with the user's data or request, for your own coding mistakes..., or for praise'). It also gives timing guidance (file as soon as recognised, before follow-up questions) and cardinality (one call per distinct problem).

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