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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

C2.3/5.0
Behavior2/5

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

No annotations are present, so the description must fully disclose behavior. It does say 'Body discarded', which is a useful detail, but it fails to clarify that the schema accepts a wide variety of unrelated input shapes, whether the status check is live or simulated, rate limits, or error handling. The 'public library docs URL' wording is inconsistent with the general-purpose schema, making actual behavior unclear.

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

Conciseness2/5

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

The description is extremely short, but the brevity comes at the cost of necessary clarity. It front-loads the core action, yet the second fragment 'Body discarded' is the only behavioral note and is placed without context. This reads as under-specification rather than effective conciseness.

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 seven heterogeneous parameters, no annotations, and no output schema, the description must carry substantial explanatory weight. It omits parameter semantics, the exact form of the HTTP status return, and how to select the right parameter. An agent would be hard-pressed to call this tool correctly based on the description alone.

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?

All seven parameters already have individual descriptions in the schema, so the high-coverage baseline applies. However, the tool description adds no parameter-level guidance and may confuse agents by referring to 'public library docs URL' while the url parameter is described as 'HTTPS URL to normalize or cite'. There is also no indication of whether parameters are alternatives or mutually exclusive.

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

Purpose3/5

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

The description states a specific action — returning HTTP status for a public library docs URL — and notes the body is discarded. However, the schema exposes seven unrelated parameters (city, feed, host, json, path) that this description does not account for, and the 'public library docs' qualifier is not reflected in any parameter. It also does not distinguish this tool from sibling fetch-status, which likely performs the same core check.

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?

The description provides no guidance on when to use this tool versus siblings like fetch-status, web-fetch, or normalize-url. There are no conditions, alternatives, or exclusions mentioned, leaving an agent to infer the appropriate context on its own.

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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