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status-catalog

Short catalog of common HTTP status codes.

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 present, the description carries the full burden of behavioral disclosure, but it offers only 'Short catalog ...', which implies read-only behavior without stating it. It also fails to disclose that most inputs (ref, url, city, feed, json, path) are seemingly only validated or discarded, as the input schema's field descriptions suggest.

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 one-sentence description is terse and contains no filler, but it is under-specified for a tool with seven heterogeneous parameters. This is closer to under-specification than to effective concision, since no structure is used to clarify purpose or usage.

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?

Given that the tool has no annotations, no output schema, and a schema spanning seven unrelated inputs, a one-line catalog description is incomplete. It does not explain why inputs like city, feed, or json are relevant, so an agent lacks enough context to invoke the tool confidently.

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?

All seven parameters have individual schema descriptions, so the description need not repeat parameter details. The description adds no meaning about how these heterogeneous inputs relate to an HTTP-status-code catalog, leaving that relationship unexplained, but the schema already covers each field's literal meaning.

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 identifies the resource ('common HTTP status codes') and indicates it is a reference catalog, so an agent can infer a lookup purpose. However, it lacks a specific verb and does not distinguish status-catalog from sibling tools like fetch-status, leaving ambiguity about whether this returns code meanings or fetches a live status.

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?

No when-to-use guidance is given. The description does not mention any conditions, exclusions, or alternatives such as fetch-status or web-fetch, so an agent must infer from the name alone when this tool is preferred.

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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