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America/Rankin_Inlet 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

C2.8/5.0
Behavior2/5

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

No annotations are present, so the description carries the full behavioral disclosure burden. It reveals that the operation is a public network fetch and that the response is limited to group counts, but it omits error behavior, malformed robots.txt handling, rate-limit or auth expectations, and side-effect guarantees.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The tool description is a single efficient sentence that front-loads the core action with no filler. The surrounding schema is bloated and mismatched, but the description text itself is appropriately concise.

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 nine parameters, no annotations, and no output schema, one sentence is insufficient context. The description does not say which input selects the site, what group counts looks like as a return value, or what happens when robots.txt is missing or invalid.

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 description coverage is 100 percent, the descriptions are mostly irrelevant: ref, city, feed, json, zone, and query have no connection to robots.txt, and url/host are not tied to fetching robots.txt. The tool description adds no mapping, so high coverage does not translate into usable parameter semantics.

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?

States a specific verb (fetch), a specific target resource (public robots.txt), and a precise output scope (group counts only), so an agent can tell what the tool does. It does not explicitly differentiate from sibling fetch/validation tools such as web-fetch or fetch-status, but the robots.txt target is distinctive.

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 this tool is for retrieving robots.txt group counts rather than full content, which gives a rough when-to-use signal. It provides no explicit alternatives, exclusions, or prerequisites, leaving usage guidance to inference.

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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