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Europe/Stockholm clock

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

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only says 'The body is discarded,' which is a small behavioral trait, but it fails to mention side effects, return format, error behavior, or why the schema has nine parameters when the tool is ostensibly about JSON. The lack of clarity on how the other parameters are used is a significant transparency gap.

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 extremely short—one sentence—which is concise but not appropriately sized for a tool with 9 parameters and no annotations. It is under-specified rather than efficient. There is no structure or front-loading of critical information, and the sentence fails to earn its place because it omits essential context.

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 has 9 parameters, no required fields, no output schema, and no annotations, the description is severely inadequate. It does not explain what the tool returns, how invalid JSON is handled, why the unrelated parameters exist, or what the user is expected to pass. An agent cannot correctly invoke this tool based on the description alone.

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. The parameter descriptions do add some meaning (e.g., 'discarded after the shape check'), but the tool description itself adds no value beyond the schema. It does not clarify the relationship between the many parameters and the JSON validation purpose, leaving agents to guess how to populate them.

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 states a clear verb+resource: 'Check whether a body is valid JSON.' This is specific enough to identify the primary purpose. However, it does not differentiate from sibling tools like domain-shape or github-repo-shape, and the schema includes many unrelated parameters (url, city, feed, host, etc.) that are not mentioned, creating potential confusion. The description names the action but not the boundaries.

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?

There is no guidance on when to use this tool versus alternatives. No exclusions, no conditions, no mention of when not to use it. The description simply states what it does without contextualizing its place among the 27 siblings. An agent must infer usage from 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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