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Glama

Timezone Clock

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

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden. It clearly states the output is limited to group counts, but it does not describe error behavior, absence of robots.txt, redirects, network assumptions, or the fact that several input-schema fields (json, zone) appear unrelated to the stated behavior.

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, front-loaded sentence with no filler. It efficiently communicates the core action and output constraint.

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 confident invocation: there are four optional parameters with no guidance about which one(s) to supply for a robots.txt fetch, no output schema, and no clarification of what 'group counts' means or how the unrelated-looking parameters relate. An agent would struggle to know whether to pass url, host, json, or zone.

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 parameter-level meaning beyond the schema, and the schema's own parameter descriptions (e.g., 'JSON text to validate', 'IANA timezone name') seem mismatched with the 'robots.txt' purpose, but the description does not clarify this mismatch.

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 concrete resource ('public robots.txt'), and a precise output scope ('return group counts only'). This clearly distinguishes the tool from its siblings, which are focused on citations, zones, validation, and URL normalization.

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 the tool should be used when someone needs robots.txt group counts, but it does not explicitly state when to use it versus alternatives. There are no exclusions, prerequisites, or mentions of sibling tools like domain-shape or validate-json.

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

C2.3/5.0
Disambiguation2/5

Several tools overlap around URL and HTTP inspection (citation, normalize-url, inspect-robots, compatibility), making it hard to know which to select for a given task. Timezone tools are clearer but the URL-related tools have fuzzy boundaries.

Naming Consistency2/5

Names mix noun-style labels (citation, compatibility, timezone) with verb-style labels (normalize-url, validate-json, inspect-robots), and some names like citation and compatibility are vague. Hyphenation is consistent, but the overall naming pattern is not.

Tool Count3/5

Ten tools is a reasonable number, but the server is named 'Timezone Clock' while most tools are URL/HTTP utilities. The count feels padded and unfocused relative to the apparent purpose.

Completeness2/5

The timezone surface lacks common operations like converting between zones or getting offset details, while the URL/HTTP side is a grab-bag of partial capabilities. The tool set does not coherently cover either apparent domain.