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Glama

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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

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It mentions fetching and returning group counts but does not disclose error handling, rate limits, or side effects. The behavior is only minimally described.

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

Conciseness3/5

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

The description is very concise, consisting of a single sentence. However, it sacrifices necessary detail and structure, leaving the agent to guess parameter usage.

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 four parameters and no output schema, the description is inadequate. It does not explain how the parameters map to the task, what 'group counts' means, or what the return format is. Essential invocation details are missing.

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?

While the schema covers all parameters, the descriptions are generic and appear mismatched to the tool's purpose (e.g., 'JSON text to validate' for the json parameter). They provide no meaningful semantics for how to use these parameters to fetch a robots.txt.

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 verb and resource ('Fetch a public robots.txt'), but it does not indicate which parameter supplies the URL or how this tool differs from siblings like normalize-url. The purpose is understandable but incomplete for invocation.

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?

There is no guidance on when to use this tool versus alternatives, no exclusions, and no prerequisites. The description merely states what it does without context for selection.

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

C2.6/5.0
Disambiguation4/5

Tools are mostly distinct, but 'compatibility' is vague and 'citation' vs 'normalize-url' both deal with URLs, though with different purposes. Overall, descriptions help clarify intent.

Naming Consistency4/5

Names follow a consistent lowercase hyphenated pattern (e.g., normalize-url, validate-json) with a few single-word exceptions like 'citation' and 'timezone'. The style is predictable and readable.

Tool Count5/5

11 tools is well within the typical range for a general-purpose utility server, covering URL, time, HTTP status, JSON, and language helpers without being excessive.

Completeness4/5

The tool set covers a broad range of common web and time utilities. Minor gaps like DNS lookup or IP info exist, but for the apparent scope, the coverage is solid.