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JSON Lines row count, body 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
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose that the body is discarded and that several params are 'discarded after' their check, which is honest about side effects. But it does not disclose return format, error behavior, rate limits, or the ambiguous relationship between the many params.

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?

Two sentences, no filler, and the key facts are front-loaded. Every word earns its place; brevity is a genuine strength here.

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?

This is a 9-parameter tool with no output schema and no annotations, yet the description is only two sentences. It does not explain whether params are alternatives, checked simultaneously, or representative of distinct sub-modes. An agent cannot reliably invoke it across its parameter range 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%, so baseline is 3. The description adds minimal param-level meaning and actually creates a mismatch by describing only the URL case while the schema documents weather, timezone, JSON, refs, and search. It adds the 'discarded' context but does not help reconcile the param diversity with the stated purpose.

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?

States a specific verb+resource ('HTTP status and content type for a public URL') and a notable behavior ('Body discarded'). However, the 9-parameter schema spans weather, timezone, JSON validation, search length, file paths, and refs, so the description covers only a fraction of what the tool accepts and contradicts the breadth implied by the params. It also does not distinguish itself from siblings like fetch-status or browser-url-ok.

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 when-to-use, when-not-to-use, or alternative guidance. With many close siblings (fetch-status, normalize-url, browser-url-ok, playwright-url-ok, inspect-robots), an agent has no way to select this tool over them based on the description alone.

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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