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

Annotations already declare read-only, idempotent, closed-world behavior, and the description adds substantial context beyond them: it searches bundled case-study files, does not browse or modify external sites, and returns nothing when no project matches. It also previews the return payload (summary, link, timeline, team size, results).

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?

Front-loads the usage condition, then the action, then behavior and return shape. Every sentence carries distinct information with no repetition or filler.

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 single-parameter, closed-world search tool with no output schema, the description covers trigger, matching logic, return values, no-match behavior, and boundaries. Nothing an agent needs in order to call it correctly is missing.

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 schema already defines the single query parameter fully. The description still adds value by explaining what the query is matched against (industry, platform, services, technology tags), clarifying expected input semantics beyond 'topic words'.

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 and resource ('Finds published Pulore case studies related to a topic') and scopes it to Pulore's own work, which cleanly separates it from siblings like audit_website_speed or scope_software_project. An agent can identify the tool without opening the schema.

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 an explicit trigger ('only when someone asks about Pulore's own work or experience') with a concrete example, plus a clear exclusion ('Don't use it to find examples of other companies' products'). No sibling competes for this use case, so the absence of a named alternative is not a gap.

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