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

No annotations are provided, so the description carries the full disclosure burden, and it discloses little beyond the return contents. It doesn't clarify that this is a read-only operation, what authorization the job_token grants, whether results are paginated, or whether any state is affected.

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 economical sentence that front-loads the verb and resource. It is appropriately sized, though the trailing field list ('exact amount, payment status and receipt metadata') is the least essential part.

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 two-parameter tool with no annotations, no output schema, and no parameter documentation, the definition is too thin. It does enumerate some returned fields but leaves authentication mechanics and parameter semantics entirely unexplained.

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?

With 2 required parameters and 0% schema description coverage, the description must compensate, but it mentions neither job_id nor job_token. The phrase 'secured job' loosely hints that credentials are needed but adds no meaning about which identifier to supply or where the token comes from.

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?

Specific verb 'List' plus a precise resource 'pass-through expense requests' scoped to 'a secured job', which clearly separates it from the other list tools (evidence, services). It stops short of naming siblings explicitly, so an agent must still infer the distinction from the resource noun.

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?

The description never states when to use this versus human_list_evidence, human_get_job, or the quote tools. 'For a secured job' implies a required job context but gives no conditions, prerequisites, or exclusions to route selection.

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