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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

C2/5.0
Behavior3/5

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

The description does disclose one behavioral trait: 'Body discarded' implies that only the HTTP status is returned and the response body is not provided. However, with no annotations, it does not mention error behavior, rate limits, authentication, or whether extra parameters are ignored, so transparency is only partial.

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 extremely concise and has no filler words. However, it is too terse to compensate for the complex schema, and it lacks any structured breakdown of behavior or usage, so conciseness comes at the cost of completeness.

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?

Given the tool has nine optional parameters and no output schema, the description is severely incomplete. It does not explain what happens when multiple parameters are provided, which parameter is the primary input, what the return value looks like, or what errors can occur. The one-sentence description is inadequate for the complexity of the schema.

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 description coverage is 100%, which would normally give a baseline of 3, but the parameter descriptions are confusing and often contradict the tool's stated purpose. For example, 'url' is described as 'HTTPS URL to normalize or cite' rather than the URL whose status is fetched, and many parameters are described as 'discarded' without explaining that the tool only needs one primary input. The description adds no clarity about which parameters are relevant or how they map to the behavior.

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 verb and resource: 'HTTP status for a public library docs URL.' However, the input schema contains nine unrelated parameters (ref, city, feed, json, zone, query, etc.) with descriptions like 'discarded after the shape check,' which makes it very unclear which parameter is actually used or what the tool really does. The name 'lib-docs-hint' and the schema do not align with the description, weakening purpose clarity.

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 about when to use this tool instead of sibling tools such as fetch-status, web-fetch, browser-url-ok, or normalize-url. No conditions, alternatives, or exclusions are mentioned, leaving the agent to guess when this 'hint' tool is appropriate.

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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