Skip to main content
Glama

ISO country LB

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

B3.3/5.0
Behavior3/5

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

With no annotations, the description's 'body is discarded' disclosure is useful but incomplete. It does not state what the tool returns (e.g., a boolean or error), and it leaves the purpose of the other six parameters unexplained; the schema partially fills this in by marking them as discarded.

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?

Two short sentences with no filler; the key action and side effect are front-loaded. The brevity comes at the cost of not mapping 'body' to the schema, but the structure itself is clean.

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?

Given seven parameters and no output schema, the description is too sparse. It does not specify how to invoke the validation (which parameter is the JSON), what the response looks like, or why the tool accepts unrelated-looking fields such as ref, city, and feed. An agent would need to inspect the schema carefully and might still be confused.

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%, so the baseline is 3 even without extra explanation. The tool description adds no parameter-level meaning, and its vague 'body' wording does not clarify that 'json' is the parameter to populate, but the schema's per-field descriptions compensate.

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 names a specific operation (validating whether a body is JSON) and notes the body is discarded. The tool's name reinforces the purpose. However, the term 'body' is not explicitly mapped to the 'json' input parameter, leaving slight ambiguity about what to pass.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The use case is implied by the name and description: when you need to validate JSON. There are no explicit conditions, prerequisites, or alternatives mentioned, though the siblings list contains no other JSON-specific validator, so no routing conflict is obvious.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.