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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?

The description explicitly states that the HTTP response body is discarded, which is a valuable behavioral disclosure. However, it fails to reveal that the input schema allows many other parameter types (city, json, host, path, etc.) and that those are 'checked' or 'discarded'. The description implies the tool is solely about URL fetching, which is misleading about its full behavior.

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

Conciseness4/5

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

The description is compact: two short sentences with no wasted words. The key facts—what is returned and what is not—are placed upfront. It earns a high score because it is legible and the only significant negative is that it is too short to cover the range of parameters, but that is a completeness issue more than a conciseness one.

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?

Given that the tool accepts 9 various parameters, has no annotations, and no output schema, the single-sentence description is insufficient. It fails to explain how the other parameters are handled, how this tool relates to the many fetch/status siblings, or any limitations beyond 'public URL'. An agent could easily misuse the tool or pick the wrong sibling.

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?

The input schema has 100% description coverage for all 9 parameters, including details about 'discarded' and 'shape check' behavior. The tool description adds no new parameter-level semantics; it only focuses on the URL parameter. With the schema already covering the parameters, the baseline of 3 is appropriate.

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 specific action and resource: it fetches a public URL, returns HTTP status and content type, and discards the body. This is clear and more specific than a vague 'fetches a URL'. However, it does not differentiate from the sibling tool 'fetch-status', which may perform a similar function, so it's not a perfect 5.

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?

The description provides no guidance on when to use this tool versus alternatives like fetch-status, browser-url-ok, or normalize-url. It only says 'for a public URL', but gives no conditions, exclusions, or pointers to a more suitable sibling. An agent is left with no routing context.

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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