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

No annotations are provided, so the description carries the full behavioral burden. It discloses meaningful behavior: entity anchoring rather than literal wording, and source-traceable answers. It does not mention read-only or rate limits, but search semantics make the main behavior sufficiently transparent.

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?

Three sentences with no filler. The core purpose is front-loaded, followed by a targeted parameter heuristic and a multi-call strategy. Every sentence 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 6-parameter search tool with no output schema and full schema coverage, the description is adequate: it identifies data sources, gives a key usage heuristic, and lets the well-described schema handle parameter specifics. It could mention the get_brief relationship, but this is not essential.

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%, so the baseline is 3. The description adds real value for the entity parameter by explaining why it improves accuracy and traceability beyond the schema's 'project, person or company' wording. Other parameters are left to the schema, which is acceptable.

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?

States a specific verb ('Search') and resource ('what this user’s meetings and agents recorded'), making the scope clear. It does not explicitly contrast with get_brief, but the target data is described concretely enough to avoid confusion.

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?

Gives explicit tactical guidance: pass entity when the question names a project/person/company and call more than once broad then narrow. It lacks an explicit when-not-to-use statement or sibling comparison, but the context is clear and actionable.

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