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JSON byte count, body discarded

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 mentions 'Fetch' implying network access, but does not disclose side effects, error behavior, rate limits, or whether it modifies anything. With no annotations provided, the transparency is limited to stating the output format. More detail would be needed for the agent to understand side effects.

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 concise and to the point, but it omits essential information about parameters and usage. While brevity is good, the structure lacks any breakdown of inputs or outputs, making it less effective than it could be.

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 is incomplete given the context. The presence of irrelevant parameters (json, zone) and lack of explanation for them makes the tool contextually confusing. It does not provide enough information for an agent to correctly invoke it without additional assumptions.

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 generic and mismatched. 'url' and 'host' plausibly relate to fetching robots.txt, but 'json' and 'zone' are irrelevant and described with boilerplate text (e.g., 'JSON text to validate' and 'IANA timezone name') that does not clarify their role. The description does not rescue the schema, leaving the agent confused about why these parameters exist.

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 a specific verb ('Fetch') and resource ('public robots.txt') and specifies the output ('return group counts only'). This distinguishes it from sibling tools like validate-json or timezone, which have different purposes. However, it could be slightly more explicit about the intended use case.

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. While the purpose is clear, the description does not mention conditions, prerequisites, or situations where this tool is preferred. This lack of usage direction reduces its utility.

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

C2.3/5.0
Disambiguation4/5

Each tool has a distinct function: URL analysis, JSON inspection, time/timezone, and HTTP status. Only 'compatibility' is vaguely defined and could conceptually overlap with status-catalog, but the other descriptions prevent significant misselection.

Naming Consistency2/5

Names mix noun-only (citation, compatibility), noun-noun (json-bytes, status-catalog), and verb-noun (inspect-robots, normalize-url, validate-json) styles with no clear pattern. All are readable, but the convention is not systematic or predictable.

Tool Count5/5

With 11 tools, the count sits comfortably in the ideal range. Each tool has a specific purpose, and the set does not feel bloated, even though the overall scope spans multiple utility domains.

Completeness3/5

URL, JSON, time, and HTTP status areas each have reasonable coverage with no obvious dead ends. However, the lack of a clearly stated central domain makes completeness hard to fully evaluate, and 'compatibility' feels under-specified.