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TE / transfer-encoding token shape

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

D1.9/5.0
Behavior2/5

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

With no annotations provided, the description must disclose behavior. It only states 'No identifiers are retained', a privacy note, but does not explain side effects, network access, or return format. It does not clarify whether the tool is read-only, whether it performs remote calls, or what happens to the input data beyond discarding some fields (which is only hinted in the schema). The behavioral transparency is severely lacking.

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 a single short sentence, which avoids verbosity, but it is too under-specified to be effective. It does not front-load key information (purpose, usage) and instead provides a generic statement. The brevity is not a virtue here because it omits essential details that an agent needs.

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's complexity (9 optional parameters, no annotations, no output schema), the description is grossly incomplete. An agent cannot determine what classification categories exist, how to interpret the output, or how to select this tool over siblings. The description provides almost none of the context needed for correct invocation, making it inadequate.

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 schema description coverage is 100%, with each of the 9 parameters having a detailed description (e.g., 'Git ref name; discarded after the shape check'). The description adds no additional parameter semantics, but since the schema already documents each parameter thoroughly, the baseline of 3 is appropriate. The description does not compensate for or enhance the schema.

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 states 'Show how this request is classified' but never defines what 'classified' means, what categories are used, or what the output looks like. It does not distinguish itself from the many sibling tools (e.g., validate-json, normalize-url) that each target a specific input type. The verb 'show' and resource 'how this request is classified' are too vague to guide an agent.

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?

There is no guidance on when to use this tool versus its siblings. The description does not mention any conditions, alternatives, or exclusions. Given the broad set of input parameters (ref, url, city, feed, etc.), an agent has no way to know if this tool is appropriate for a given request without further context.

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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