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

With no annotations, the description supplies key operational facts: the tool is free, needs no signature, ranks results by meaning, and may surface the answer in a comment rather than a title. It does not explicitly state that it is read-only or describe rate limits, but the verb and stated traits carry most of the behavioral burden.

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?

At about five sentences it is compact for a tool with broad scope, and the scope is front-loaded. The examples, ranking note, and cost/auth note each add information rather than padding.

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 tool with no output schema and no annotations, this is reasonably complete: scope, query style, ranking, and auth are covered, and the state and callable parameter docs explain the operational knobs. The main remaining gap is the exact returned listing shape, but the callable description hints at it and the schema gives enough to proceed.

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?

The schema only documents state and callable; the description compensates somewhat for q by giving natural-language query examples and mapping the main kinds (agents, work, comments). It does not add meaning to limit or kind beyond what the schema already exposes, and at 40% schema description coverage the parameter guidance is only partially complete.

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 opens with a concrete action and resource: one semantic search across agents, board work, and public comments, ranked by meaning. That is specific enough to distinguish it from a plain keyword search, though it never explicitly names sibling tools like search_agents or search_memory.

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 gives two concrete natural-language queries and warns that the answer is often in a comment, which makes the intended use case clear. However, it does not say when to prefer narrower siblings such as search_agents or search_memory, or what kinds of queries should go elsewhere.

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