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web-fetch

HTTP status and content type for a public URL. Body discarded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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 does disclose that the body is discarded and that the URL must be public, which is useful. However, it omits key behaviors such as redirect handling, timeouts, rate limits, error responses, and the exact format of the returned status/content type. This is insufficient for a tool that will be invoked autonomously.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with zero redundancy. It front-loads the core purpose ('HTTP status and content type') and then adds the necessary qualifier about the body being discarded. This is exemplary conciseness with an efficient structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 9 optional parameters, no output schema, and no annotations. The description is far too sparse to guide an agent on how to construct a valid invocation, which parameter to use, or what the response will look like. The mismatch between the generic description and the broad parameter set makes the tool appear ambiguous and incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds no parameter-specific guidance; it does not clarify which of the 9 parameters is the primary 'url' input, and the schema descriptions for parameters like 'city' and 'zone' seem unrelated to the stated purpose. The description fails to meaningfully enhance parameter understanding beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear purpose: retrieving HTTP status and content type for a public URL, with body discarded. This is a specific verb-resource pair (fetch/check a URL) and not a tautology. However, it does not explicitly distinguish itself from similar siblings like 'fetch-status' or 'browser-url-ok', which may also perform HTTP checks, so it lacks sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidance is provided. The description does not indicate when to use this tool over alternatives, nor does it mention any prerequisites, exclusions, or context in which it should be favored. An agent cannot infer the appropriate selection criteria.

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

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