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

No annotations are provided, so the description carries the behavioral burden. 'Get detail' implies a read-only lookup and the listed return fields add useful context, but it does not cover not-found behavior, permissions, rate limits, or data freshness.

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?

A single front-loaded sentence followed by a compact colon-separated list of returned fields. No wasted clauses.

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 lookup with no output schema, the description names the returned fields and gives examples, which is enough for an agent to call it correctly. It is not fully complete because it omits error/not-found behavior and any indication of data freshness.

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 concrete example vendor names ('11x', 'Smith.ai', 'Intercom Fin') that clarify the expected input format beyond the schema's case-insensitive note.

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 ('Get detail') and resource ('AI worker vendor by name') and enumerates returned fields. It does not explicitly name the sibling alternatives, though the single-vendor lookup is distinguishable from compare_ai_workers and list_categories.

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?

Usage is implied by 'by name' and the examples, but there is no explicit when-to-use, when-not-to-use, or routing guidance to compare_ai_workers or list_categories.

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