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YAML key count, body discarded

lib-docs-hint

HTTP status for a public library docs 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?

No annotations are provided, so the description carries the full burden. It discloses that the body is discarded, which is useful, but says nothing about redirects, timeouts, authentication, or error behavior. The schema parameter descriptions mention values are 'discarded after the check' for several fields, but the main description does not integrate this into a coherent behavioral model.

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?

The description is extremely concise: two short sentences with no fluff. The primary action ('HTTP status') is front-loaded, and the key behavioral note ('Body discarded') follows immediately. Every word earns its place, though this brevity contributes to incompleteness elsewhere.

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 9 parameters, no required fields, no output schema, and no annotations, the description is far from complete. It does not explain what the tool returns beyond a status code, how to interpret the response, which parameters are actually relevant to the core function, or why the schema includes unrelated fields. An agent would struggle to call this correctly without additional information.

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 description coverage is 100%, so the baseline is 3. The description adds no parameter-specific meaning beyond the schema. The schema descriptions themselves are often vague or mismatched (e.g., 'url' is for normalizing/citing, but the tool is about HTTP status), yet the description does not attempt to reconcile these or clarify which parameters are actually used for the HTTP status check.

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: returns HTTP status for a public library docs URL and discards the body. This is a specific verb+resource, but it does not differentiate from sibling tools like fetch-status or browser-url-ok. The 9-parameter schema, however, introduces confusion by including unrelated fields (city, feed, json, zone, etc.), so the stated purpose does not fully align with the input surface.

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 alternatives. It does not mention exclusions, prerequisites, or typical use cases. An agent cannot decide between this and fetch-status, normalize-url, or browser-url-ok 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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