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Pacific/Port_Moresby clock

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

C2.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does reveal one important trait (the body is discarded), implying only the HTTP status is meaningful. But it omits whether an HTTP request is sent, whether the operation is read-only, what happens for invalid URLs, and how the many schema parameters are related to the status check.

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 exceptionally short and front-loaded, with every word contributing to the core idea. It avoids redundancy, but its brevity borders on under-specification for a tool with this many parameters. Still, as a concise statement it is effectively structured.

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 seven parameters, no output schema, and no annotations, the description is severely inadequate. It does not explain which parameter to use, what the response contains beyond 'HTTP status', or how the other params factor in. An agent cannot confidently invoke the tool correctly based on this definition.

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 schema already provides individual descriptions for all seven parameters, so baseline is 3 even without description-level parameter info. The description does not add semantic value and actually creates confusion by mentioning 'public library docs URL' while the 'url' param is described as 'HTTPS URL to normalize or cite', not as the target of an 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 states a specific verb and resource: returning the HTTP status for a public library docs URL, with the body discarded. This is clear at a surface level and hints at a read-only status check, which aids in distinguishing from content-fetching tools like web-fetch. However, it does not explicitly differentiate from sibling tools such as fetch-status or browser-url-ok, and the broad param list creates ambiguity about the exact intended resource.

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, no exclusions, and no mention of preferred input types. The description simply states what it does without explaining the circumstances under which an agent should select it over similar tools, leaving usage entirely to inference.

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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