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UUID v7 time-sortable shape

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

C2.9/5.0
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. It discloses only that the fetch is 'public' and that only counts are returned; it does not mention error behavior when robots.txt is missing, redirect handling, side effects, or whether the operation is read-only beyond the 'Fetch' phrasing. Some parameter descriptions hint at discard/no-disk-access behavior, but those are schema text, not part of the main description.

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: verb, resource, and output shape are stated without surplus words. This is structurally efficient, but the conciseness borders on under-specification given the 9-parameter complexity.

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 9 parameters, no required parameters, no output schema, and no annotations, the description does not convey how the agent should pass the URL/host, what happens when robots.txt is absent, or what shape the 'group counts' result takes. This is a significant completeness gap for a tool that appears to require one of several plausible parameters.

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?

Schema description coverage is 100%, which gives a baseline of 3. The description adds no parameter-level meaning of its own; it does not illustrate which of the 9 generic parameters (e.g., host, url) maps to the robots.txt location. The schema may document each parameter individually but does not connect them to the tool's specific purpose, so the description does not help the agent choose the correct parameter among the 9.

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 identifies the action ('Fetch a public robots.txt') and the specific return value ('group counts only'), which distinguishes it from siblings like web-fetch that would return full content. However, it does not explicitly differentiate itself by name from fetch-status or show how the 9-parameter schema ties to the robots.txt purpose.

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 on when to use this tool instead of alternatives such as web-fetch or fetch-status. The description only states what it does; it does not mention any conditions, alternatives, or exclusions, leaving the agent to infer entirely.

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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