http_headers

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

No annotations are provided, so the description carries full burden. It only states the tool 'analyzes' headers but does not disclose behavioral traits such as whether it makes network requests, follows redirects, handles errors, or any rate limits. The description is minimally transparent.

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 concise and well-structured: a one-sentence purpose followed by clearly labeled Args with brief explanations and an example. Every sentence is necessary; no waste.

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 output schema and no return value description, the description is incomplete. It does not explain what the result of the analysis looks like (e.g., a list of headers, a security assessment). For a tool that returns data, this is a significant gap.

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 description adds meaning to both parameters beyond the schema: 'url' is a target URL, 'user_agent' is an optional custom string. An example demonstrates typical usage. However, with 0% schema description coverage, more detail (e.g., formatting rules) would improve clarity.

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 analyzes HTTP headers for security and information disclosure. The name and description together specify the verb (analyze) and resource (HTTP headers). Sibling tools like whois_info or dns_records are distinct in purpose, so differentiation is clear.

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 when to use (to analyze HTTP headers) but does not explicitly contrast with siblings or provide exclusions. It lacks guidance like 'use this when you need to inspect response headers for security issues' versus other tools that deal with different aspects of a domain.

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