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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

C2.2/5.0
Behavior2/5

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

With no annotations provided, the description must carry the full behavioral disclosure burden. It does add a useful privacy claim ('No identifiers are retained') and some parameter descriptions mention discarding data, but the description does not state whether the operation is read-only, whether it makes network calls, or what side effects, if any, occur. The main behavior of 'classification' is opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and free of filler, with the non-retention sentence earning its place. However, its brevity comes from under-specification rather than efficient coverage of essential details. The purpose sentence is too generic to be actionable, so conciseness is achieved at the expense of substance.

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?

This tool has 9 optional parameters, no required parameters, no output schema, no annotations, and many siblings, yet the description offers no guidance on what to pass, how the classification is returned, or when this tool is appropriate. The fragmented discard notes in the schema are not enough to make the tool usable. This is severely incomplete for an interface this broad.

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%, and each parameter has a functional description (e.g., 'discarded after the shape check', 'no disk access'). The tool-level description adds no additional parameter meaning, but with full schema coverage 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 'Show how this request is classified' uses a generic verb and an undefined resource. It does not explain what classification means, what categories exist, or how this tool differs from siblings like domain-shape, validate-json, or search-query-len. It is more than a tautology but leaves the core function essentially undefined.

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?

The description provides no guidance on when to use this tool versus any of the 27 sibling tools. There is no mention of input scenarios, prerequisites, or alternatives. An agent has no basis for selecting this tool over the many similarly abstract options.

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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