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ISO country KZ

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?

With no annotations, the description carries the full burden of behavioral disclosure, but it only states that a public robots.txt is fetched and counts are returned. It omits error behavior for missing or malformed robots.txt files, redirect handling, network side effects, and how groups are counted. The unrelated schema parameters being 'discarded' is also not explained in the description.

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 description is one tight sentence with no filler, and the key output constraint is front-loaded. However, at only ten words it is arguably undersized for a tool with a broad, confusing 9-parameter schema and no annotations or output schema.

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 complete definition is missing: it does not specify which parameter is needed, whether any parameter is required, what the return shape is beyond 'counts,' or how errors are surfaced. The mismatch between the narrow robots.txt description and the broad optional schema leaves too much uncertainty for correct invocation.

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?

Although schema description coverage is high, the parameter descriptions are mostly unrelated to robots.txt (city, feed, json, path, query are marked as discarded), and all parameters are optional. The description does not clarify whether 'host' or 'url' identifies the target robots.txt, so an agent cannot reliably select the correct parameter.

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 states a specific verb ('Fetch'), a clear resource ('public robots.txt'), and a precise output scope ('return group counts only'). This unambiguous resource and output scope distinguishes it from generic sibling tools like web-fetch or domain-shape. Despite the noisy input schema, the description itself is not vague or tautological.

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 prefer this tool over web-fetch, fetch-status, or other URL inspection tools. It also does not mention any exclusions, prerequisites, or alternatives such as 'use web-fetch if raw robots.txt content is needed.' The usage context is only weakly implied.

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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