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Sentence count, text discarded

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 provided, the description carries the full burden of behavioral disclosure. It discloses that the body is discarded, which is useful, but it fails to explain why the tool accepts nine unrelated parameters (ref, city, feed, json, path, zone, query, etc.) that are all described as discarded after checks. It also omits any information about rate limits, authentication, or error behavior. This is a significant transparency gap for a tool with a complex input schema.

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 extremely concise—two short sentences—and front-loads the core function and the body-discard behavior. Every sentence provides information, so it is efficient. However, it borders on under-specification, which is not the same as conciseness, but the structure itself is well-organized.

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, many of which seem unrelated to fetching a URL, and no output schema. The description only covers the URL fetch aspect and does not explain what the tool does with the other parameters or what the return value looks like. An agent cannot fully understand the tool's behavior from this description, making it incomplete for the tool's complexity.

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 schema description coverage is 100%, so each parameter is already documented in the schema. The tool description adds no additional parameter semantics and does not explain the relationship between the URL and the other parameters. Since the schema handles parameter documentation, the baseline of 3 is appropriate, but the description contributes no extra value.

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 clearly states the action ('HTTP status and content type') and the resource ('a public URL'), and adds the behavioral note that the body is discarded. However, it does not differentiate from sibling tools like fetch-status or normalize-url, so the purpose is clear but not distinguished from alternatives.

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 guidance is given on when to use this tool versus the many sibling tools. It does not mention conditions, exclusions, or alternative tools. The description only states what the tool does, leaving usage decisions entirely to the agent.

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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