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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description adds the response shape (address, province, tax) and the route, which is useful, but says nothing about pagination behavior or what the head-office flag does beyond what the schema states.

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 short sentences, front-loaded with what is returned, followed by the practical follow-up use. Nothing redundant or padded.

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 simple four-parameter read tool with rich annotations and no output schema, the description adequately covers purpose and returned fields, and the schema covers all parameter detail. Only a note on pagination behavior or head-office semantics would make it complete.

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 description coverage is 100%, so each of the four parameters is fully documented in the schema (defaults, ranges, next_page chaining). The description contributes no additional parameter-level meaning, making the baseline 3 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?

States a specific verb and resource (list the company's branches) and enumerates the returned fields (address, province, tax details), plus the underlying endpoint. The resource is plainly distinct from the sibling list_* tools, though it does not explicitly compare itself to any of them.

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?

"Use the ids to filter employees" gives downstream context and implicitly points toward talenta_list_employees, but it is guidance about consuming the result rather than about when to call this tool or when another tool would be preferable. No exclusions or prerequisites are stated.

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