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

Annotations already indicate a safe read-only operation, and the description adds meaningful behavioral detail: deterministic rule engine, cited .gov sources, no AI guessing, and the extra-field resolution behavior. It does not describe output format in depth, but the behavioral disclosure goes well beyond what annotations provide.

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 description is compact and front-loaded: it opens with core purpose, then gives the minimal input contract, then highlights the most important optional parameter, and closes with a pointer to a broader check. Every sentence earns its place and there is no repetition of schema metadata.

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 15-parameter tool with no output schema, the description explains the main call contract, the role of optional fields, and the most impactful parameter. It could have described the response structure or explicitly named when to use sibling tools, but the given context is enough for an agent to select and invoke the tool correctly.

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 67% schema description coverage, the schema already documents most parameters. The description reinforces the two required fields and adds substantial guidance about marital_status, explaining why it is high-leverage and how it affects program resolution. That is real value beyond the input schema.

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 description clearly states that the tool checks which senior-benefit programs a person likely qualifies for, using a deterministic rule engine. It does not explicitly contrast with sibling tools like find_programs_by_zip or get_program_details, but the resource and action are specific enough to distinguish it.

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 provides useful invocation guidance: only age and zip_code are required, extra fields convert needs-more-info programs into definite answers, and marital_status is high-value. However, it never explicitly says when to prefer this tool over the sibling tools, so agent routing relies mostly on the tool names and context.

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