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

Annotations already cover the safety profile (readOnlyHint, openWorldHint), and the description adds real context beyond them: the matching is fuzzy rather than exact, and the return value is a topic path ready to feed into another tool. It stops short of saying what happens on multiple or zero matches, which matters for a fuzzy lookup.

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?

A single sentence with no filler; the core action leads and the downstream-use clause follows. Every element earns its place.

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 one-parameter lookup with no output schema, the description supplies what matters: fuzzy matching semantics and the shape of the result (a topic path). Only edge-case behavior (multiple matches, no match) is missing, a minor gap given the tool's simplicity.

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 100% and the single 'name' parameter is already documented with a fragment example, so the schema does the heavy lifting. The description only restates 'by name' and adds the consumption hint, not the input format — 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 description names a specific verb ('Fuzzy-find'), a specific resource ('knowledge-board topic path'), and even the intended use of the result ('to pass as search.topic'). It does not explicitly contrast with the sibling list_topics, but 'fuzzy-find ... by name' versus a plain listing is distinguishable enough.

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 phrase 'e.g. to pass as search.topic' communicates a downstream use, implying when an agent should reach for it (resolving a name before searching). However, it never states when NOT to use it or names list_topics as the alternative for enumerating topics, so guidance is implied rather than explicit.

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