Keel

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: it performs an HTTP request, returns timing breakdowns (DNS, connect, TLS, TTFB, total), status code, response size, and headers. However, it lacks details on error handling, timeouts, authentication needs, or rate limits, leaving gaps for a tool that interacts with external services.

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 front-loaded with the core purpose in the first sentence, followed by specific return details. Every sentence adds value without redundancy, making it efficient and easy to parse for an AI agent.

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 no annotations, no output schema, and low schema coverage, the description is moderately complete. It covers the basic operation and return data, but for a tool that performs external HTTP requests, it should ideally mention potential side effects (e.g., network calls), error cases, or configuration options to be fully adequate.

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?

The schema description coverage is 0%, so the description must compensate. It implies the 'url' parameter is used for the HTTP request, adding meaning beyond the schema's basic type. However, it doesn't specify URL format constraints (e.g., must include protocol) or optional parameters like method or headers, which could be relevant for a full HTTP tool.

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 specific action ('Perform an HTTP request') and the resource (the HTTP endpoint via URL), distinguishing it from siblings like ping, port_check, or speed_test by focusing on HTTP-level diagnostics rather than network or performance testing.

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?

Usage is implied by the description's focus on HTTP request timing and status, suggesting it's for web service monitoring or debugging, but there's no explicit guidance on when to use this versus alternatives like health (which might check status without timing) or other network tools.

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