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ISO country PA

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

B3.1/5.0
Behavior3/5

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

With no annotations, the description at least conveys a public read operation and a summarized return ('counts only'), which gives agents a basic safety picture. It does not disclose which parameters are actually used, behavior on missing robots.txt, redirects, or that most schema fields are irrelevant, leaving significant behavioral context unstated.

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 front-loaded sentence with no wasted words; the action and key return constraint appear immediately. It is concise, but the brevity leaves critical mapping details unstated, so it is not a perfect example.

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?

Given nine heterogeneous parameters, no output schema, and no annotations, a one-sentence description is not enough. It omits the input-to-robots mapping, failure behavior, and any relationship to the many web-fetch and URL siblings, so an agent lacks necessary context 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?

Schema coverage is 100%, so the baseline is 3, but none of the generic parameter descriptions mention robots.txt or link to the tool's purpose. The description does not say whether to supply url, host, or a page URL, so an agent cannot reliably choose the right field among the nine.

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 clearly states a fetch action on a public robots.txt and narrows the return to group counts, which helps distinguish it from generic web-fetch or URL-check siblings. It is specific as a one-line purpose, though it does not define what 'group counts' means or which input selects the target site.

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 is for getting robots.txt group counts rather than full content, but it gives no explicit when-to-use or when-not-to-use guidance and does not mention alternatives such as web-fetch. An agent must infer the use case from the tool name and the single sentence.

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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