test_request

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

No annotations are provided, so the description must fully disclose behaviors. It mentions automatic auth, but does not describe request behavior (e.g., side effects, error handling, response format), which is critical for a mutation-capable tool (supports POST, PUT, DELETE).

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 two sentences, front-loaded with purpose, and contains no redundant information. Every word serves a clear function.

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 6 parameters, 4 required, and no output schema, the description covers the core purpose and auth behavior but lacks details on response structure, error handling, or rate limits. Adequate but leaves gaps for complete understanding.

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 100%, so the baseline is 3. The description adds minimal parameter-specific insight beyond the schema, except for the headers note to avoid Authorization. No additional semantics for other params.

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 'test' and the resource 'REST API or OpenSearch endpoint on a specific stand', distinguishing it from sibling tools like os_search or db_query which target specific backends.

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 implies usage for testing endpoints with automatic auth, but does not explicitly state when to use this tool versus alternatives (e.g., os_search for OpenSearch queries) or provide scenarios where it should not be used.

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