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Europe/Kaliningrad 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

B3.2/5.0
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 burden of behavioral disclosure. It adds useful constraints: the fetch is public-only and the return value is limited to group counts. But it does not mention failure modes, rate limits, or that unrelated schema parameters like city, feed, and json are ignored, which is a notable gap for a networked tool.

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 short sentence delivers the fetch action and the output constraint with no filler. Every word earns its place and the key scope information is front-loaded.

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 no annotations and no output schema, the one-sentence description is under-specified for correct autonomous invocation. It does not explain which parameter is the robots.txt source, what the group-count return shape is, or how the other six parameters relate to the tool, and the schema's generic parameter descriptions do not resolve these ambiguities.

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 has descriptions for all seven parameters, so the baseline is 3. The tool description adds no mapping between 'robots.txt' and the url/host/path parameters, leaving the agent to guess which one supplies the target. This is a real ambiguity, but the schema itself does cover every parameter.

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 states a specific action ('Fetch...robots.txt') and a distinctive output scope ('group counts only'), which separates it from generic web fetchers. The only minor gap is not naming the exact input parameter that identifies the target site, but the core purpose is unambiguous.

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?

'Group counts only' implies that this tool should be used when a summary of robots.txt groups is needed rather than the full file content, so an agent can infer a use case. However, it does not explicitly state when not to use it, nor does it name alternative sibling tools like web-fetch or fetch-status.

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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