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TOML table count, body discarded

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

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that the HTTP response body is discarded, which is useful. However, it does not explain that most parameters are discarded (as hinted by parameter descriptions) or what the tool actually does with the non-URL fields. There is no mention of side effects, permissions, or return format beyond 'HTTP status'. The disclosure is minimal and incomplete.

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 very concise, consisting of two short sentences. It is front-loaded with the purpose and immediately adds a behavioral detail. This is efficient, though it sacrifices completeness.

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?

For a tool with 9 optional parameters, no output schema, and no annotations, the description is far too brief. It does not explain why the schema includes fields like city, zone, or json, nor how they relate to the stated 'public library docs URL' purpose. An agent cannot reliably infer the tool's full behavior or correct invocation from this description alone.

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% description coverage, so each parameter is already documented. The tool description adds no additional meaning to parameters; it only mentions 'URL' without referencing any specific parameter. Baseline 3 applies because the schema already explains the parameters, and the description does not contradict or augment them.

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 ('HTTP status for a public library docs URL') and a behavioral note ('Body discarded'). However, it is misaligned with the input schema, which accepts 9 heterogeneous parameters (city, zone, json, etc.) that are not all URLs. This inconsistency makes the tool's true scope unclear and fails to differentiate it from sibling status-check tools like fetch-status or browser-url-ok.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any conditions, exclusions, or preferred use cases. Given the crowded sibling list of URL and status tools, this is a significant gap.

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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