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

No annotations are provided, so the description carries the full burden. It describes the return content correctly (analysis with counts and percentages) and implies a read-only operation. However, it does not mention any potentially expensive computation, pagination, or other behavioral traits like rate limits or data freshness. Given zero annotations, this is adequate but leaves some unknowns.

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 extremely concise: one sentence for purpose, one for return content, and one for usage guidance. No wasted words, and the most critical information (what it does) is front-loaded. The response format example is unnecessary but does not harm conciseness.

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?

Given the tool is simple (1 required parameter, no output schema, no nested objects), the description covers the essential aspects: purpose, output content, and usage goal. The only minor gap is the lack of behavioral details (like whether this is real-time or cached), which is not critical for this kind of analytical report tool. The mention of a 200 response code is helpful but adds no real semantic value beyond that.

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 only 1 parameter (name) and 0% schema description coverage, the description does not explicitly clarify the parameter's semantics. However, the tool name and purpose strongly imply the 'name' is a framework identifier, and the context of sibling tools (e.g., agent_get_framework) reinforces this. The description clearly states the required parameter is a framework name, adding enough meaning beyond the bare 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 a specific verb ('Get') and resource ('cross-framework coverage report for a framework'), explicitly distinguishing this from siblings like 'agent_get_framework_controls' or 'agent_cross_framework_map'. It details what the report includes (total controls, mapped counts, coverage percentages), leaving no ambiguity about purpose.

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 explicitly states when to use this tool: 'Use this to understand which frameworks overlap most and plan multi-framework strategies.' However, it does not mention any alternatives or cases when this tool should not be used (e.g., if a single-framework detail is needed, use agent_get_framework_controls). This is a minor gap.

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