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inspect-robots

Fetch a public robots.txt and return group counts only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoHTTPS URL to normalize or cite
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
zoneNoIANA timezone name

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 does not disclose side effects, permissions, or whether the operation is read-only. While fetching a public robots.txt is presumably safe, this is not stated, and the mismatched parameter descriptions further obscure the tool's behavior.

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

Conciseness5/5

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

The description is a single, concise sentence that directly states the core functionality without superfluous words. It is well-structured and easy to parse.

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?

The description omits essential context such as what 'group counts' means, how to specify the target website, and any output format details. The parameter descriptions are useless for understanding how to invoke the tool correctly, making the overall definition incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The parameter descriptions are entirely inconsistent with the tool's purpose. 'url' is described as 'HTTPS URL to normalize or cite,' and 'json' as 'JSON text to validate; discarded after the check,' which have no relevance to fetching robots.txt. The descriptions actively mislead rather than clarify.

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 states the action ('Fetch'), the resource ('public robots.txt'), and the specific outcome ('return group counts only'). However, the parameter descriptions contradict this purpose, creating confusion about what the tool actually does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. There is no mention of appropriate scenarios, limitations, or relationships to sibling tools like 'validate-json' or 'normalize-url'.

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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TDQS

C2.5/5.0
Disambiguation4/5

Most tools have distinct purposes, but citation and normalize-url both inspect URLs with overlapping fields, and timezone/utc-time/iana-zones are related. Descriptions clarify the differences, so ambiguity is minimal.

Naming Consistency5/5

All tool names use lowercase with hyphens, following a consistent pattern (e.g., normalize-url, validate-json, utc-time). No mixed conventions or irregular verbs.

Tool Count5/5

With 11 tools, the count is well within the typical 3-15 range. Each tool appears to serve a distinct utility, and the number is reasonable for a general-purpose toolkit.

Completeness2/5

The tools form a disjointed collection of unrelated utilities (URLs, time, HTTP, JSON, robots, language tag) with no coherent domain. There is no obvious lifecycle or CRUD pattern, and the set lacks depth in any single area, making it incomplete for any defined purpose.