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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

D1.5/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only mentions 'Body discarded' and 'HTTP status', but does not explain what the tool does with the various inputs, whether it performs network calls, what side effects exist, or what success/failure looks like. This is severely insufficient for a tool with 9 parameters and no annotation context.

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 short and could be considered concise, but it is under-specified. It contains only two clauses and omits essential information about the tool's functionality and parameters. This is over-compression rather than effective conciseness; front-loading is not enough when critical content is absent.

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 parameters, no required parameters, no output schema, and no annotations, the description is grossly incomplete. It does not explain the tool's overall behavior, what kind of results to expect, or how the parameters are used. The single sentence covers only a narrow scenario and leaves the agent unable to correctly select or invoke the tool for other inputs.

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?

The schema covers 100% of parameters with individual descriptions, so the baseline is 3. However, the description adds no extra meaning beyond the schema and actually contradicts the schema's breadth by implying only URL-related usage. It fails to clarify how the parameters relate to the tool's purpose, so the parameter semantics remain confusing rather than illuminated.

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 ('get HTTP status') and a resource ('public library docs URL'), but this is misleading given the input schema accepts 9 unrelated parameters (weather, timezone, JSON, file path, search text, etc.). It does not accurately convey what the tool actually does across its schema, so the purpose is not clear and even potentially inaccurate.

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 on when to use this tool versus alternatives. The description does not mention any context, exclusions, or alternatives, and the agent is left without any indication of appropriate use cases beyond the one narrow mention of 'public library docs URL'.

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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