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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

B3.1/5.0
Behavior3/5

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

The description discloses one meaningful behavior: the response body is discarded, so only the HTTP status is relevant. With no annotations provided, it does not go far enough to explain network behavior such as whether redirects are followed, timeouts, failure responses, or whether any validation is performed beyond the URL itself.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short and front-loaded: 'HTTP status for a public library docs URL' states the primary function, and 'Body discarded' adds a key detail in a compact sentence. It is efficient with no filler, though the brevity leaves some contextual gaps.

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?

With nine optional parameters, no required parameters, no output schema, and no annotations, the description is too minimal for an agent to understand which parameter or combination of parameters to pass and how the tool behaves across different inputs. The schema explains individual parameters, but the description does not clarify how they relate to the stated purpose or what the HTTP status response looks like.

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?

The input schema has 100% parameter coverage, with each of the nine optional parameters having its own description, so the schema already carries most of the semantic weight. The tool description adds no parameter-specific meaning and even creates mild ambiguity by describing a 'docs URL' while the url parameter is described as 'HTTPS URL to normalize or cite'.

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 that the tool returns an HTTP status for a docs URL and that the body is discarded, which identifies the core operation. However, it does not differentiate this from sibling URL-status tools such as fetch-status, browser-url-ok, or playwright-url-ok, and the phrase 'public library docs URL' is narrower than what the schema parameters imply.

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?

There is no guidance on when to use this tool versus alternatives like fetch-status, browser-url-ok, or playwright-url-ok. The description gives no context for choosing this tool, no exclusions, and no mention of what makes lib-docs-hint preferable for a given situation.

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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