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Port 587

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

C2.4/5.0
Behavior2/5

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

The description mentions 'The body is discarded,' indicating no persistence, but there is no information about the return value, success/error behavior, or side effects beyond that. Without an output schema or further details, an agent cannot anticipate the tool's full behavior.

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 and front-loaded, using two short sentences to convey the purpose and a behavioral note. However, the overall tool definition is burdened by a bloated schema with nine optional parameters, which detracts from structural cleanliness but does not affect the description's own brevity.

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?

The description is not self-contained for an agent. It fails to specify what the tool returns (e.g., boolean, error message), how to interpret the 'json' parameter versus the other extraneous ones, and whether all parameters are optional or if any are required for validation. This lack of essential context makes the description inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Most parameter descriptions are misleading or irrelevant to JSON validation. For example, 'url' is described as 'HTTPS URL to normalize or cite' and 'city' as 'City name for a public weather hint.' Only the 'json' parameter aligns with the tool's purpose. The descriptions actively confuse the agent about which parameters are meaningful, making this dimension poor.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's core function: 'Check whether a body is valid JSON.' This is specific and unambiguous. However, the presence of many unrelated parameters in the schema could confuse an agent about the exact scope, preventing a perfect score.

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 guidance is provided on when to use this tool versus alternatives. The description only states what it does, not the conditions under which it should be chosen. Given the large list of sibling tools, explicit usage criteria are missing.

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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