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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is fully carried by structured data. The description adds only the accepted input formats, and says nothing about what counts as 'suspicious', whether a confidence or risk score is produced, or any size/rate limits — the added value over annotations is modest.

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?

The purpose is front-loaded in a single sentence and the Args block is compact with no filler. The Args section largely duplicates what the schema already shows, so it isn't perfectly waste-free.

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?

With an output schema present and full schema coverage, the description needn't explain return values, and annotations cover safety. However, for a fraud-detection judge the agent would benefit from knowing the analysis dimensions or any input constraints, none of which are given.

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 both parameters are already documented with examples in the schema and the description only restates them. It also lists a 'ctx' argument that does not exist in the input schema, which is a minor inconsistency rather than added meaning.

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?

The first sentence states a specific verb+resource ('Analyze a resume file') and the outcome ('identify suspicious or potentially fraudulent content'), which is clearly distinct from siblings like extract_resume_data or detect_bias. It stops short of explicitly naming the closest alternatives, so it lands at 4 rather than 5.

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?

There is no when-to-use or when-not-to-use guidance and no prerequisites stated. It doesn't tell the agent how this differs in practice from detect_bias, score_resume_against_jd, or extract_resume_data, leaving the routing decision entirely to inference from the purpose sentence.

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