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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

C2.3/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden of disclosure, yet it only says 'Short catalog...' and stops. At best, the word 'catalog' implies a read-only reference, but it does not disclose what the tool returns, whether it performs computation, or how the nine parameters interact with the catalog. The description adds minimal behavioral context beyond what could be guessed.

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 very short, but this is under-specification, not intentional conciseness. The single sentence essentially rephrases the tool name and does not earn its place by adding actionable content, resulting in a low value-to-length ratio.

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 the tool has 9 heterogeneous optional parameters, no output schema, no annotations, and no usage guidance, a one-sentence description is severely inadequate. An agent cannot determine which parameters to pass or what the response will contain, so the description is incomplete for practical invocation.

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?

Schema description coverage is 100%, so each of the nine parameters already has individual schema descriptions. The main description adds no semantic insight into how these parameters relate to the status-catalog concept; for instance, url, city, and json appear unrelated to status codes. The baseline 3 is appropriate because the schema handles the descriptions, but the tool description fails to clarify why these parameters belong together or how they should be used.

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 tool as a catalog of common HTTP status codes, which is helpful by naming the domain and distinguishing it from URL/status fetchers like fetch-status and web-fetch. However, it is a noun phrase rather than an action statement; it does not explicitly say that the tool returns a list, encodes a single status, or accepts inputs. For an agent needing to invoke it, the actual operation remains vague.

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 usage guidance is provided. The description never states when the agent should use this tool, what inputs would be appropriate for it, or which sibling tools are better alternatives. The agent is left to infer the use case from the tool name and description alone.

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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