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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

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that only group counts are returned, which is a useful constraint, but it omits critical details such as error handling, rate limits, authentication requirements, or the fact that most input parameters are 'discarded after the shape check' (per the schema). The mismatch between the single-purpose description and the broad, mostly-discarded parameter list is not addressed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise, but it is under-specified rather than appropriately sized. It omits essential information about how to specify the target and what the input parameters mean, so it does not earn its place by enabling correct use.

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?

Given the tool has 9 optional parameters, many of which are discarded, and no output schema, the description is completely inadequate. It fails to explain which parameter is required for the core action, what 'group counts' means, or how failures are surfaced. An agent cannot reliably invoke this tool based on the provided information.

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?

The schema descriptions are comprehensive (100% coverage) but they are individually vague (e.g., 'HTTPS URL to normalize or cite') and do not connect to the stated action of fetching robots.txt. The tool description adds no parameter semantics whatsoever—it never indicates which parameter (e.g., 'url' or 'host') actually drives the robots.txt fetch. This leaves the agent guessing at how to invoke the tool correctly.

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 specific action ('Fetch a public robots.txt') and a specific result ('return group counts only'), which is clear at a high level. However, it does not clarify which of the nine parameters (e.g., 'url', 'host') should be used to specify the target robots.txt, creating ambiguity. It also does not differentiate from siblings like web-fetch or fetch-status, leaving the agent without a clear selection signal.

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 versus alternatives. No exclusions, prerequisites, or comparisons to sibling tools are provided, so an agent must infer the appropriate usage from the vague description alone.

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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