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Glama

Leap year check

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

C2.6/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the tool 'returns group counts only,' which sets a scope expectation, but it doesn't disclose what happens on failure (e.g., if robots.txt is missing) or whether the fetch is restricted to public hosts. For a tool that makes network requests, this lack of behavioral detail is a notable gap.

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, concise sentence that front-loads the action and expected output. It is efficiently worded with no fluff. It could be improved by adding a brief usage example or clarifying intent, but for the length, it earns its place.

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 4 parameters, no required fields, and no output schema, the description is insufficiently complete. It doesn't explain which parameters are actually needed to perform the fetch (e.g., is 'url' the only relevant one?), nor does it describe the return structure beyond 'group counts.' An agent would struggle to invoke it correctly without opening the schema and making assumptions.

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?

The schema covers 100% of parameters, so each parameter has a basic description. However, the tool description adds no extra meaning about how parameters like 'json' or 'zone' relate to fetching robots.txt—these seem irrelevant to the stated purpose. The schema descriptions are generic, and the description doesn't clarify which parameters are actually used or how they interact, leaving potential confusion.

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 verb and resource: 'Fetch a public robots.txt and return group counts only.' This makes the core action clear. However, it doesn't distinguish itself from siblings like crawl or query, which could also involve fetching web resources, so an agent might still be uncertain about when this tool is the right choice.

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 offers no guidance on when to use this tool versus alternatives such as crawl or search. It doesn't specify scenarios where inspecting robots.txt is preferable, nor does it mention any prerequisites or exclusions. The agent is left to infer usage from the tool name and short 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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TDQS

C2.4/5.0
Disambiguation3/5

Most tools have distinct purposes, but timezone/utc-time both return current time and citation/normalize-url both inspect URL components. Compatibility is vague and could be confused with status-catalog, though descriptions provide some help.

Naming Consistency3/5

All tool names use lowercase-hyphenated style, but they mix noun labels (citation, timezone, status-catalog) with verb-object actions (inspect-robots, normalize-url, validate-json). This mixed semantic pattern makes naming less predictable despite the consistent formatting.

Tool Count2/5

Eleven tools is not inherently too many, but a server titled 'Leap year check' carries only one leap-year tool among unrelated URL, time, HTTP, and JSON utilities. This is a major scope mismatch for the stated purpose.

Completeness2/5

The set lacks a coherent domain, so completeness is hard to assess: for a leap-year server there is only the bare check, and as a general utility server there are obvious omissions like date arithmetic or more detailed HTTP capabilities. Agents would hit dead ends beyond the narrow included functions.