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compatibility

Show how this request is classified. No identifiers are retained.

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

C2.6/5.0
Behavior3/5

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

The statement 'No identifiers are retained' provides a useful privacy/retention guarantee, which is especially relevant because multiple schema parameters describe discarded inputs. However, with no annotations, the description still does not disclose whether the tool is read-only, makes external calls, or returns any meaningful state change. It gives one behavioral fact but not a complete operational picture.

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 concise: two short sentences with no filler. The privacy statement earns its place. However, the first sentence is so vague that brevity comes at the cost of clarity, so it does not quite reach a 5.

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?

This tool has nine optional parameters, no annotations, no output schema, and a large set of siblings. The description does not explain what the classification output looks like, what categories or formats are produced, or how an agent should choose inputs. The schema descriptions help per-parameter, but the overall context is inadequate for a tool this complex.

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 already has 100% description coverage, with each parameter explaining what it is and often that its value is discarded. The tool description itself adds no parameter-level meaning beyond the generic 'request' wording. Since the schema carries the burden, the baseline of 3 is appropriate.

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 says the tool will 'Show how this request is classified,' but it never specifies what a request is, what classification categories exist, or what resource the tool operates on. The name 'compatibility' hints at a purpose, but the description does not connect that name to the behavior, and it does not distinguish this tool from the many sibling shape/validation tools.

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 conditions, contexts, or alternatives are given. The description does not explain when an agent should prefer this tool over siblings like validate-json, file-path-ok, or domain-shape, and it offers no exclusions. The only guidance is implicit and too weak to route an agent correctly.

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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