analyze_response_structure

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

No annotations are provided, so the description must disclose behavioral traits. It states 'analyze' implying a read-only operation, but it does not explicitly confirm no side effects, authentication needs, or rate limits. The behavioral context is minimal.

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 a single sentence that is to the point and front-loaded. No words are wasted, making it efficient.

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?

Despite having an output schema, the tool's complexity (analyzing JSON structure) is not fully covered. The description omits return behavior, edge cases, and scope, making it insufficient for confident agent invocation.

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 0% schema description coverage, the description must compensate. It indicates the 'response' parameter expects JSON ('live or sample JSON'), but it does not elaborate on required structure, keys, or constraints. The added value is marginal.

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 the verb 'Analyze' and the resource 'live or sample JSON', listing specific aspects like paths, arrays, nulls, referencedEntities, and types. This gives a good sense of what the tool does but does not explicitly differentiate it from sibling tools such as check_field_presence or compare_to_schema.

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 guidance on when to use this tool versus alternatives. The description mentions analyzing live or sample JSON but fails to specify prerequisites, context, or exclusions, leaving the agent without decision-making criteria.

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