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

Beyond the readOnly/idempotent annotations, it discloses matching behavior (forgiving case, punctuation, partial names), the per-state row behavior for multi-state issuers, the data source, the plan year, and the HealthCare.gov coverage limitation. No annotation contradiction found.

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?

Four dense sentences, each earning its place: what the tool returns, when to use it, matching behavior, and source/scope caveats. The key output is front-loaded in the first sentence.

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 tool with no output schema, the description enumerates the return contents and covers matching, state behavior, data source, year, and geographic scope. Nothing critical is missing for an agent to invoke it 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?

Schema coverage is 100%, so the baseline is 3. The description adds value beyond the schema by explaining partial-name matching, per-state returns, and the optional state parameter's narrowing effect for multi-state insurers.

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 names a specific resource ('ONE named health insurer') and enumerates the exact contents: claims received/denied, denial rate, and appeal outcomes. This clearly distinguishes the profile tool from the sibling tools that focus on only one slice of that data.

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?

It gives explicit use guidance: 'Use when a caller names a company,' with realistic example queries. It does not explicitly mention sibling alternatives like insurer_denial_rates or insurer_appeal_outcomes, but the context is clear enough to route the agent correctly.

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