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

Annotations already cover the safety profile (readOnly, idempotent, closed-world), so the description's job is to add context: it does disclose that results come back with links and adds a usable output-handling rule ("say a note's point in a clause; never paste it"). However, "up to five come back" implies a default result cap that the schema does not state and that sits oddly below the limit maximum of 8, which could mislead an agent about result counts.

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?

It is short, but it is not front-loaded: it opens with a possessive noun phrase rather than a verb, and the parenthetical catalogue of example note types occupies most of the first sentence. The trailing instruction about how to cite notes is a separate concern bolted on at the end.

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 explanation is not required, and the description covers the broad content scope plus citation behaviour. Still missing is any statement of what a "note" or "edit" actually is and how results rank, which matters for a discovery tool with no explicit usage boundaries.

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 coverage is 50%: query is documented with examples, limit is not. The description reinforces the plain-words phrasing of query and implicitly reveals the default result count (five), which is genuine added meaning for the undocumented limit parameter, but it never explains that limit can be raised up to 8.

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 says it retrieves "within's own writing for a question" — the journal's guides, notes and edits — which implies a search over editorial content rather than products, distinguishing it loosely from search_pieces/similar_pieces. However it never states a clear verb (find/search/look up) and the content is described only through oblique parentheticals like "how a house runs" and "a season's coats", so the agent must infer that this is a keyword search over house-authored notes.

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 example topics (how a house runs, a city's shops, what to wear to what) implicitly define when to reach for this tool over the product-oriented siblings. But there is no explicit statement of when not to use it, nor any named alternative for product or sizing questions, leaving the routing decision to inference.

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