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HTTP 500 internal-error

compatibility

Show how this request is classified. No identifiers are retained.

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

A3.5/5.0
Behavior3/5

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

The description adds one non-obvious behavioral fact beyond the schema: 'No identifiers are retained.' This discloses a privacy/retention behavior, which is genuinely useful. However, with no annotations provided, the description carries the full burden and it does not mention whether validation is synchronous, what side effects exist (none implied), or what the output/classification format is.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the primary purpose, and the non-retention guarantee is concise. No wasted words or redundant restatement of the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 4 optional params, no required inputs, no output schema, and no annotations, the description covers the core behavior but remains thin: it doesn't state what kinds of classifications are returned, how results relate to input combinations, or what happens with invalid inputs.

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 schema already documents all 4 parameters adequately. The description adds no parameter-level meaning beyond 'request' and 'classification,' but the baseline of 3 is appropriate since the schema carries the heavy lifting.

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 action ("Show how this request is classified") with a specific resource concept (request classification). It is somewhat abstract and doesn't strongly differentiate from siblings like 'citation' or 'domain-shape', but it does say what the tool does.

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 description implies usage — call it to see classification of a request — but gives no explicit guidance on when to prefer it over alternatives, and does not mention that all 4 parameters are optional. There is no stated exclusion or alternative routing.

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

C2.4/5.0
Disambiguation2/5

citation and normalize-url both return overlapping URL metadata, http-500 overlaps with status-catalog, and timezone/utc-time/iana-zones form a fuzzy time-related cluster. compatibility is also vague about what it classifies, making tool boundaries unclear.

Naming Consistency2/5

Names are consistently hyphenated but mix noun phrases like citation, compatibility, and http-500 with verb-object forms like normalize-url, inspect-robots, and validate-json. There is no consistent naming grammar across the set.

Tool Count3/5

11 tools is a reasonable count, but the scope is unfocused: URL handling, time, HTTP status, robots.txt, and JSON validation are unrelated concerns. The number is not extreme, but the tools do not form a coherent, well-scoped set.

Completeness2/5

The set covers only isolated read-only utilities and leaves obvious gaps for a server named HTTP 500 internal-error: no actual error-diagnosis or HTTP request tools beyond status meaning/catalog, no timezone conversion, and no JSON processing beyond validation. Each micro-domain is only partially covered.