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Uuencode length, input discarded

fetch-status

HEAD a public URL and return status only.

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

D1.9/5.0
Behavior2/5

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

With no annotations, the description must carry the behavioral burden. It discloses that an HTTP HEAD request is made and only status is returned, but it says nothing about the other parameters (e.g., that they are discarded after checks), rate limits, auth, or how the tool actually processes the input. The behavior for non-URL parameters is completely unexplained.

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 a single, short sentence, which is concise and front-loaded. However, for a tool with nine parameters and no output schema, it is under-specified and lacks any structure to help an agent understand the tool's real function. Conciseness is present, but it sacrifices necessary detail.

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 the complexity (9 parameters, no output schema), the description is far from complete. It does not explain how the many parameters map to the stated 'URL' purpose, does not describe return values, and offers no example or further detail. An agent would be confused about what inputs are valid and what the tool actually does.

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

Parameters2/5

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

Schema coverage is 100%, so the schema already documents each parameter, giving a baseline of 3. However, the description says 'public URL' while the schema includes parameters like 'city' and 'zone' that are clearly not URLs, actively contradicting the stated purpose. The description adds no clarity about which parameter is the target or how they interact.

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

Purpose2/5

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

The description states a clear verb and resource ('HEAD a public URL'), but the input schema accepts nine unrelated parameters (ref, city, feed, json, zone, etc.), so the stated purpose does not match the actual input space. It does not distinguish this tool from siblings like browser-url-ok or normalize-url, and the mismatch makes the intended scope ambiguous.

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?

There is no guidance on when to use this tool versus alternatives, no conditions or exclusions, and no mention of which parameter is the 'URL'. An agent cannot tell whether this is for checking URL reachability, validating JSON, or something else, and no sibling is referenced.

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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