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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

C2.4/5.0
Behavior2/5

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

The description claims it fetches a robots.txt, but the schema suggests many parameters are validated and discarded ('discarded after the shape check', 'no disk access', etc.). It does not disclose the full behavior, such as how parameters map to actions, what happens with non-robots inputs, or whether network access is always performed. With no annotations, the description carries the full burden but fails to explain the actual behavior.

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, concise sentence without unnecessary words. The key information (fetch robots.txt, return group counts only) is front-loaded. It is appropriately short, though it omits needed details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 9 optional parameters, no required fields, no output schema, and no annotations, the description is severely inadequate. It does not explain how parameters map to behavior, when to use it, what 'group counts' means, or how errors are handled. An agent cannot reliably invoke this tool correctly based on the provided description.

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 each parameter has a description, but those descriptions do not mention robots.txt and instead describe generic validation checks. The tool description does not clarify how to trigger a robots.txt fetch (likely via 'url' or 'host'), leaving a disconnect. It adds no value beyond the schema and actually creates confusion about the intended input.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear specific action: fetch a public robots.txt and return group counts. However, the input schema exposes 9 unrelated parameters (city, zone, json, path, etc.) that suggest a much broader validation tool, so the description misrepresents the actual scope and does not help distinguish it from siblings like web-fetch or fetch-status.

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 use this tool versus alternatives. There is no mention of prerequisites, when robots.txt fetch is appropriate, or any exclusions. The agent is left without context for selecting this tool among 27 siblings.

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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