Skip to main content
Glama

HTTP 500 internal-error

status-catalog

Short catalog of common HTTP status codes.

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

D1.7/5.0
Behavior1/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states that the tool is a catalog and says nothing about read-only behavior, side effects, output format, or how the given parameters relate to the catalog.

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 short, but brevity here is under-specification rather than efficient writing. It fails to include any actionable or contextual information that would justify its place in a tool definition.

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?

For a tool with four optional parameters, no annotations, and no output schema, a one-line noun phrase is far too incomplete. The agent cannot determine what input it should pass, what it will receive back, or why the sibling tools exist.

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 four parameters. However, the description adds no semantic connection between these parameters (url, host, json, zone) and the stated purpose of HTTP status codes, leaving the agent to guess how they are used.

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

Purpose2/5

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

The description names a specific resource (HTTP status codes), but is a noun phrase ('Short catalog...') with no actionable verb. It does not say whether an agent should look up, list, or interpret status codes, and the schema params (url, host, json, zone) suggest additional functionality that the description never acknowledges.

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

Usage Guidelines1/5

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

There is zero guidance about when to use status-catalog versus its siblings (citation, compatibility, validate, etc.). No context, prerequisites, or excluded use cases are mentioned.

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.

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.