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Asia/Kuala_Lumpur clock

inspect-robots

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

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 must carry the full behavioral burden. It discloses read-only intent and an aggregated output shape ('group counts only'), but it omits error behavior, redirect or user-agent policy, and what 'counts' actually represent. This is a thin behavioral profile for a tool with no annotation safety hints.

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 sentence with no filler, and the key scoping phrase 'group counts only' is front-loaded. Every word earns its place without being verbose.

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 seven schema parameters, no output schema, and no annotations, the description is too sparse to be complete. It fails to connect the robots.txt behavior to the relevant input fields and gives no fallback behavior if a robots.txt is missing. An agent would need additional inference to call it correctly.

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?

The input schema documents all seven properties with descriptions, so the schema-coverage baseline applies. The description adds no parameter-level mapping and never says which of host/url/path is actually used to fetch robots.txt, but the schema already provides per-parameter text, keeping this at baseline.

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 names a specific verb ('Fetch') and resource ('public robots.txt'), and the phrase 'group counts only' narrows the expected output clearly. It does not name or distinguish any sibling tool, so an agent cannot tell it apart from web-fetch or fetch-status on wording alone.

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?

There is no guidance about when to choose this tool over web-fetch, fetch-status, or domain-shape. No prerequisites or conditions are stated, such as needing a host or URL from a previous step, so an agent has to infer the tool's trigger context.

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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