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Atlantic/Bermuda 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

C2.9/5.0
Behavior2/5

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

With no annotations, the description must fully disclose behavior, but it only states the action and output. It fails to mention that the tool makes a network request, that most of the 9 input parameters are discarded (per their schema descriptions), or how failures are handled. The mismatch between the stated purpose and the parameter list is not addressed, leaving an agent unaware of the actual runtime 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 sentence with no filler words. It is front-loaded with the action and outcome. While it is minimal, it is not verbose and earns credit for conciseness. It could have added context, but that is a completeness issue rather than a structure issue.

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 the tool has 9 optional parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain what 'group counts' means, what the output format is, how parameters like 'ref' or 'city' relate to robots.txt, or why they are discarded. An agent cannot infer how to invoke the tool correctly or what to expect in return.

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%, so each parameter already has a description. The tool description itself adds no parameter-specific information. Per the rubric, a baseline of 3 is appropriate when the schema covers all parameters; the description does not need to repeat them, and it does not introduce any new meaning.

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 clear verb ('Fetch') and resource ('public robots.txt') with a specific outcome ('return group counts only'). It is concise and unambiguous about the core action. However, it does not distinguish from sibling tools like web-fetch or fetch-status, and the input schema's many unrelated parameters (ref, city, json, etc.) create confusion about the tool's actual scope, so it loses a point.

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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or conditions that would select this tool over siblings such as fetch-status or web-fetch. An agent would have no basis for choosing it beyond the tool name.

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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