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Pacific/Fiji clock

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

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral burden. It does disclose that the body is discarded, which is useful, but it omits critical details such as error handling, rate limits, authentication requirements, and the fact that the schema accepts nine parameters, most of which are discarded. The description also fails to clarify the relationship between the URL and the other parameters, leaving significant ambiguity.

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

Conciseness3/5

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

The description is short and front-loaded with the core purpose, which is efficient. However, it is so terse that it omits essential context for a tool with nine parameters and many siblings. It does not earn its place by covering the full scope, so while it avoids verbosity, it sacrifices necessary information.

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

Completeness1/5

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

Given the tool's complexity (nine parameters, no output schema, no annotations, and 28 siblings), the description is grossly inadequate. It fails to explain why multiple parameters exist, when to use this tool over the alternatives, or what the response format looks like. An agent cannot reliably select and invoke this tool based on the current description.

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%, with each parameter having a description (e.g., 'discarded after the shape check', 'no disk access'). The tool description adds no parameter-specific meaning, but the schema already provides sufficient semantics for each parameter. The baseline of 3 is appropriate because the schema handles the explanation, though the description could have clarified that only 'url' is the primary input.

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

Purpose3/5

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

The description states a specific action (fetch a public URL) and outcome (HTTP status and content type), which is clear. However, it does not differentiate from several sibling tools like fetch-status, browser-url-ok, or playwright-url-ok, leaving the agent unsure which tool is appropriate for a given task.

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

Usage Guidelines1/5

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. It merely states what it does, with no mention of exclusions, prerequisites, or scenarios that favor a sibling tool.

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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