make_request

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

With no annotations, the description carries full responsibility for behavioral disclosure. It mentions return values but omits critical side-effect warnings, such as the tool actually sending requests that can modify or delete resources (e.g., DELETE, POST). No security, authentication, or network-related caveats are provided.

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 the core purpose, and includes return values. Every word contributes without redundancy or fluff.

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 generic HTTP tool with no output schema, the description adequately covers return values. It does not go into error handling or timeouts, but the core behavior is sufficiently described given the schema's parameter details.

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 schema already describes all six parameters. The description adds minimal extra meaning beyond referencing 'custom headers and body', which the schema already hides. This matches the baseline 3 for high schema coverage.

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 tool makes arbitrary HTTP requests with methods, headers, and body, and returns status/headers/body. It is specific and unambiguous, even without sibling tools to differentiate from.

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 making HTTP requests but provides no explicit guidance on when to use it vs alternatives or when not to use it. Since there are no sibling tools, the lack of direct comparison is understandable, but it still offers no contextual cues beyond the basic purpose.

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