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User-Agent length, value 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

B3.1/5.0
Behavior2/5

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

Annotations are absent, so the description carries the full burden of disclosing behavior. It states that the tool fetches a public robots.txt and returns group counts only, but it does not explain how errors are handled, what happens when a robots.txt is missing, whether output is structured in a particular way, or how the URL is supplied. These are significant ambiguities for a network-accessing tool.

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, efficient sentence with no filler. It is front-loaded with the core action and the 'only group counts' qualifier. It is concise, even if it is not fully informative for the 9-parameter 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?

The tool has a history of 9 parameters, zero required parameters, no output schema, and no annotations. The description does not explain the parameter-vs-action mapping, the meaning of 'group counts', the output format, or error behavior. In this context, the description is not complete enough for an agent to invoke the tool correctly without extensive trial and error.

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 covers all 9 parameters with descriptions, so the baseline is 3 per the rubric. The tool description itself adds little parameter-level meaning: it does not explicitly say that the 'url' parameter is the robots.txt location, nor does it clarify why other parameters exist. However, there is no direct contradiction, and the schema descriptions bear most of the load.

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 clearly states what the tool does: fetch a public robots.txt and return only group counts. The resource and output are specific, and this differentiates it from generic fetching tools like web-fetch or fetch-status, which would return full content or statuses rather than group counts.

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 instead of siblings such as web-fetch or fetch-status, nor any explicit conditions, exclusions, or alternatives. The behavioral scope has to be inferred from the one-line description, leaving the routing decision entirely to the agent.

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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