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XML well-formed check, body discarded

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

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses only that the fetch is 'public' and that only group counts are returned; it says nothing about handling missing or 404 robots.txt files, rate limits, network failures, or what 'group counts' means (user-agent groups?). The behavioral disclosure is too thin for a network tool with no annotation safety net.

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 a single, front-loaded sentence with zero wasted words: verb, resource, and output are packed in tightly. It could afford slightly more detail given the complexity, but as one sentence it is appropriately terse and organized.

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?

For a tool with 9 parameters, no output schema, and no annotations, a one-sentence description is inadequate. It does not say which parameters are relevant to the robots.txt fetch, does not define the response shape or the semantics of 'group counts', and the mismatched schema descriptions would leave an agent guessing about correct invocation. An agent would need to probe or make assumptions before calling successfully.

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 coverage is 100%, which raises the baseline to 3, but the parameter descriptions appear pasted from unrelated tools and are misleading for this purpose: 'url' is described as 'HTTPS URL to normalize or cite', and ref/city/feed/json/path/zone/query are clearly off-topic for counting robots.txt groups. Worse, no parameter description says it is the robots.txt location, so an agent cannot tell whether 'url' or 'host' is the intended entry point. The mismatch drops the score below the 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'), a specific resource ('a public robots.txt'), and a specific output ('return group counts only'). This is clear and distinguishable from siblings like web-fetch or fetch-status in spirit, though it never names an alternative explicitly, so it stops short of a 5.

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 use this tool versus web-fetch, normalize-url, fetch-status, or other siblings. The single sentence provides no prerequisites, exclusions, or conditions that would help an agent choose among the many URL/fetch-related tools in the sibling list.

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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