audit_tool_list

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

With no annotations supplied, the description carries the full burden and does reasonably well: it discloses that nothing executes, no network connection occurs, and the output is a graded checklist rather than a certification. This preempts the main misuse risk (treating the score as a safety guarantee). It does not mention input size limits or failure behavior on malformed JSON, which are the remaining behavioral gaps.

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?

Three short sentences, front-loaded with the purpose before the caveats. The phrasing is fragmentary but every sentence adds information; nothing is redundant. Slightly more polish in wording would help readability without lengthening it.

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?

An output schema exists, so return-value details are correctly omitted, and the negative scoping (no execution, no live connection, not a certification) covers the key behavioral question for a single-parameter tool. Only minor details, such as handling of malformed input or expected size, are absent.

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 0%, so the description must compensate, and it does by defining the expected shape: a JSON list of objects with 'name' and 'description'. The one weakness is that the schema types tools_json as a string while the description calls it a 'JSON list', leaving ambiguity about whether the agent should pass a serialized string or an array.

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 the resource (an MCP server's tool list) and the operation (a static security checklist audit), so an agent knows exactly what it produces. It is distinguishable from all siblings, which are unrelated utility tools (password, currency, repo, URL checks), so no sibling disambiguation is needed.

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 sets clear boundaries on use: 'Nothing is run and nothing connects to a live server' and the result is 'a checklist score, not a safety certification.' That tells an agent when this is appropriate (static review of tool metadata) and what not to expect from it. What's missing is an explicit statement of when to prefer this over any alternative, but no comparable sibling exists.

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