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TE / transfer-encoding token shape

validate-json

Check whether a body is valid JSON. The body is discarded.

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

C2/5.0
Behavior1/5

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

No annotations are provided, so the description must carry the full behavioral burden. It only states that 'the body is discarded,' which is vague and does not disclose what the tool returns (e.g., boolean, error), side effects, or any constraints. Behavioral transparency is almost entirely absent.

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 two sentences long, which is concise. However, the second sentence 'The body is discarded' is redundant and adds confusion rather than clarity. The content is front-loaded with the purpose, but the extra sentence does not earn its place.

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?

For a tool with 9 optional parameters and no output schema or annotations, the description is severely incomplete. It does not explain which parameter to use, what the tool returns, or how the other parameters relate to validation. The agent cannot correctly invoke this tool without opening the schema and inferring details that are absent from the description.

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 descriptions cover 100% of parameters, so the schema already explains each one (e.g., 'json' is 'JSON text to validate; discarded after the check'). The description adds no additional meaning beyond the schema. It does not clarify the relationship between the many unrelated parameters (url, city, feed, etc.) and the core JSON validation purpose, which baseline 3 does not require.

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 states a clear action (check if a body is valid JSON) but refers to an undefined 'body' and never clarifies which input parameter carries the JSON. It is distinct from siblings but only because no other tool is about JSON validation; it does not explain scope or what 'valid' means.

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?

No guidance is provided on when to use this tool versus alternatives. With 26 siblings, there is zero differentiation or mention of conditions, exclusions, or related tools. The agent is left to guess based on the name 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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