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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered by structured data. The description's real contribution is the data-scope boundary: it searches P.R.O. data only and not assistant memory, files, or conversation history. It says nothing about result ordering, matching behavior, or empty results, which is acceptable given the safety annotations.

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?

Two sentences with no filler. The positive scope comes first and the exclusion second, so the agent reads the most important constraint immediately.

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 read-only search, the description covers the essential question of which data set is being searched. No output schema exists, so it could optionally say what a result looks like. That is a minor gap rather than a blocker.

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?

There is a single required parameter with 100% schema coverage, and the schema already explains it as 'What to look for, in the user's own words.' The description adds no matching semantics such as keyword vs. semantic search, so the baseline of 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?

The description pairs the verb 'search' with a specific resource, 'coach notes saved in this user's P.R.O. account', and explicitly carves out the scope from the AI assistant's memory. The bare tool name 'recall' would be ambiguous on its own, but the description resolves it. It loses a point only because it does not name the sibling tool (remember_fact) that owns the excluded domain.

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 a clear when-to-use condition (looking through saved coach notes in P.R.O.) and a clear when-not condition (anything in the assistant's memory, files, or conversation history). It stops short of naming the alternative tool to call instead, which would be needed for a 5.

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