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Base64 encode, input discarded

validate-json

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoHTTPS URL to normalize or cite
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
zoneNoIANA timezone name

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It usefully states that the body is discarded, implying no retention or persistent side effect. However, it does not describe the return value, error behavior, or whether the unrelated `url`, `host`, and `zone` parameters play any role, so coverage is only partial.

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 core action is front-loaded. The second sentence slightly repeats the `discarded after the check` detail already present in the parameter schema, so it is not perfectly non-redundant, but it remains concise and readable.

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?

The description is incomplete for an agent: there is no output schema and no explanation of what the tool returns, no statement that the JSON text should be passed via the `json` parameter, and no clarification of why the schema exposes unrelated properties like `url`, `host`, and `zone`. This leaves too much room for incorrect invocation.

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 description adds no real parameter semantics beyond the schema, and the word 'body' remains ambiguous relative to the `json` property. It neither improves nor contradicts the schema, so the baseline stands.

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 specific action and object: 'Check whether a body is valid JSON.' This clearly conveys that the tool validates JSON. However, the term 'body' is not explicitly mapped to the `json` parameter, and there is no contrast with sibling tools, so it is clear but not maximally precise.

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 rather than a sibling, nor any mention of prerequisites or expected input form. An agent must infer the usage context solely from the tool name and the `json` parameter description.

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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TDQS

C2.7/5.0
Disambiguation3/5

Most tools have distinct outputs, but the URL-related tools (citation, normalize-url, domain-shape) and time-related tools (utc-time, timezone, iana-zones) form overlapping clusters that an agent could misselect. Descriptions clarify the differences, but the boundaries are not immediately obvious.

Naming Consistency3/5

All names use lowercase hyphenation, but the set mixes imperative verb_noun names (inspect-robots, normalize-url, validate-json) with noun/adjective names (citation, compatibility, timezone, base64-ok). This is readable but not a consistent naming pattern.

Tool Count4/5

Eleven tools is a reasonable size for a general-purpose utility server and none seem redundant enough to cut. A few could be consolidated, such as timezone and utc-time, but the count is not excessive.

Completeness3/5

The server covers several utility categories, including URL analysis, time, JSON validation, HTTP status, and base64, but has noticeable gaps such as no base64 decode, no timezone conversion, and no URL encoding/decoding. These missing operations limit what an agent can accomplish without another server.