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Glama

URL Normalize

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

C2.8/5.0
Behavior2/5

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

With no annotations provided, the description carries the full disclosure burden. It discloses the scoped return ('group counts only') but says nothing about error behavior, rate llimits, or synchronous/asynchronous fetch behavior. The schema parameters (normalize, cite, validate, timezone) are never reconciled with the robots.txt fetch, creating a 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.

Conciseness5/5

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

The description is a single 10-word sentence with zero filler; the action and output constraint are front-loaded. Nothing could be removed without losing a meaningful piece of information.

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?

A network-fetch tool with 4 seemingly unrelated optional parameters and no output schema needs far more detail: what 'group counts' look like, how inputs map to the fetch, and what happens on failure (404, invalid URL). The description explains none of this, so an agent cannot invoke the tool correctly despite 100% schema coverage.

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

Parameters2/5

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

Schema description coverage is 100%, which raises the baseline to 3, but the individual parameter descriptions do not align with 'fetch a public robots.txt' — JSON to validate and IANA timezone name have no obvious role. The description adds no mapping between its function and url/host/json/zone, so an agent cannot determine which parameters actually affect the fetch.

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 verb (Fetch), resource (public robots.txt), and outcome (return group counts only), so it is clear in isolation. However, it does not differentiate from sibling tools, and the input schema's parameter descriptions (normalize/cite/validate/timezone) describe a different function, which undermines the apparent clarity.

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?

No guidance is given on when to use this tool, when not to, or which alternative to choose. The phrase 'public robots.txt' hints at a public-site use case but provides no exclusions or comparisons to sibling tools.

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

C2.2/5.0
Disambiguation3/5

Several tools are distinct, but citation and normalize-url both return URL-derived fields, and timezone/utc-time overlap in purpose. compatibility is vague enough that an agent could struggle to know when to use it over the URL inspection tools.

Naming Consistency2/5

Names mix bare nouns (citation, timezone, compatibility) with verb-noun forms (inspect-robots, normalize-url, validate-json). The hyphenated style is consistent, but the grammatical pattern is not, making the set feel ad hoc.

Tool Count3/5

Ten tools is not inherently too many, but the set includes unrelated areas like timezones, HTTP status codes, and JSON validation under a URL Normalize server. Several tools do not clearly earn their place relative to the stated purpose.

Completeness2/5

The only tool directly addressing the server's core purpose is normalize-url, and it only returns origin, host, and path. Missing URL comparison, query/fragment handling, or rewrite capabilities leaves the main workflow incomplete, while unrelated tools do not fill those gaps.