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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

D1.8/5.0
Behavior2/5

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

With no annotations, the description is the sole carrier of behavioral info. It only mentions 'Body discarded,' which hints at a side effect but does not clarify what the tool actually does with the various inputs, what it returns, or any limitations. The mismatch between the description and schema further obscures behavior.

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 a single sentence, which is structurally concise. However, it is under-specified to the point of being cryptic, and it fails to earn its place by omitting critical scope information. The brevity works against clarity here.

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?

For a tool with 9 optional parameters, zero required, no output schema, and no annotations, the description is almost completely inadequate. It does not explain the tool's core function beyond a narrow example, nor does it cover the variety of inputs listed in the schema. An agent cannot reliably determine what to call this tool with or what to expect back.

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?

Although schema_description_coverage is 100%, the description adds no meaning to any parameters. It fails to explain why there are nine disparate optional parameters (e.g., 'city' for a weather hint, 'json' for validation, 'path' for file check) under a tool named 'lib-docs-hint.' The schema's own descriptions provide some semantics, but the description does not unify or clarify them, leaving the parameter set confusing.

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 specific action ('HTTP status for a public library docs URL') but this directly conflicts with the input schema, which contains parameters for city, feed, json, path, zone, and query — none of which relate to a library docs URL. The purpose is therefore vague and likely misrepresents the tool's actual scope. It does not distinguish the tool 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 Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus any of the ~27 sibling tools. The description gives no context for when it should be invoked or what distinguishes it from alternatives such as normalize-url, validate-json, or geo-hint.

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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