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Glama

Celsius to Fahrenheit

inspect-robots

Fetch a public robots.txt and return group counts only.

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

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It implies a read-only network fetch to a public resource, but it does not disclose error behavior, redirect handling, response shape, the fact that all rule details beyond group counts are discarded, or any access constraints. Minimal behavioral disclosure.

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?

A single efficient sentence with the action and the limiting scope ('group counts only') front-loaded. No wasted words.

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?

With no output schema, no annotations, and four parameters whose documented semantics do not match the tool's stated purpose, an agent cannot reliably determine which parameters apply or what the response looks like. The one-sentence description is far too thin to compensate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is 100%, the parameter descriptions are plainly copied from unrelated tools: 'JSON text to validate; discarded after the check' and 'IANA timezone name' have nothing to do with fetching robots.txt, and 'HTTPS URL to normalize or cite' describes a citation tool, not a robots.txt fetcher. The schema descriptions actively mislead rather than help.

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

Purpose5/5

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

The description uses a specific verb ('Fetch'), a specific resource ('public robots.txt'), and a scope qualifier ('return group counts only') that differentiates it from a full robots.txt parse or a raw-fetch tool. An agent can tell what this tool does in one sentence.

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?

The description provides no guidance on when to use this tool versus alternatives, no conditions, and no exclusions. There is no routing information at all beyond the implied robots.txt use case.

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
Disambiguation3/5

Most tools have distinct actions, but several HTTP/URL helpers (citation, normalize-url, inspect-robots, status-catalog) operate in the same general space and could cause misselection. The 'compatibility' tool is especially vague, making its boundary unclear.

Naming Consistency3/5

Names are consistently lowercase and hyphenated, but the word patterns are mixed: verb-led names like normalize-url and validate-json sit next to noun-only names like citation and timezone, plus the abbreviated c-to-f. This makes the naming readable but not predictable.

Tool Count2/5

Eleven tools is not an unreasonable count by itself, but the server's stated purpose is a single Celsius-to-Fahrenheit conversion. The ten unrelated utilities make the set feel like a grab bag rather than a well-scoped tool surface.

Completeness2/5

Within the apparent temperature-conversion domain, only one direction is provided and no reverse conversion exists. The remaining tools are isolated one-off utilities with no coherent workflow or full lifecycle coverage.