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16 hex chars

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

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose the central behavior: it fetches an external resource and returns only aggregated counts rather than the raw file. However, it omits key edge behaviors such as 404/missing robots.txt handling, redirects, timeouts, rate limits, or the meaning of a 'group count'.

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?

One tightly written sentence that front-loads the action and the outcome with zero filler. It loses a point because it is terse to the point of omitting the definition of 'group counts' and any parameter mapping, which matters given the mismatched schema.

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 no annotations, no output schema, and four optional parameters that are only loosely related to the tool's purpose, the 10-word description leaves too much unsaid. An agent lacks the information to choose a parameter confidently, interpret the returned counts, or anticipate failure behavior for a network fetch.

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?

Schema coverage is 100%, which normally warrants a baseline of 3, but the schema descriptions are clearly mismatched with the tool's purpose: 'url' mentions normalizing or citing, 'json' is to validate and discard, and 'zone' is a timezone name—none relate to robots.txt. The description does not tell the agent which of the four optional parameters to populate, so an agent cannot determine whether to pass url, host, both, or why json/zone exist at all.

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 uses a specific action ('Fetch'), a clear resource ('a public robots.txt'), and a distinct result ('return group counts only'). The 'only' qualifier helps differentiate it from a sibling that might return the full robots.txt, though 'group counts' is not defined.

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?

No guidance on when to use this tool versus alternatives, no exclusions, and no conditions. The word 'public' implies a constraint, but the description never states when to prefer a sibling or what inputs are required to trigger the fetch.

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
Disambiguation3/5

Several tools occupy overlapping URL/time territory: citation, normalize-url, and domain-shape all parse hostnames, while timezone and utc-time both give current time. The descriptions help distinguish them, but compatibility and hex-16 are vague enough that an agent could struggle to select them confidently.

Naming Consistency3/5

Names are consistently lowercase hyphenated, but the pattern is mixed: inspect-robots, normalize-url, and validate-json use verb-noun, while citation, compatibility, status-catalog, and timezone are noun-only. There is no predictable verb_noun scheme, but the readable kebab-case style prevents it from feeling chaotic.

Tool Count4/5

11 tools is within the normal 3-15 range and the server covers several small utility subdomains. However, a few tools like hex-16 and compatibility feel tangential or underdeveloped, making the set slightly less cohesive than ideal.

Completeness3/5

The set covers a reasonable range of stateless web/request utilities: URL parsing, HTTP status, robots inspection, time, and JSON validation. Gaps exist, such as no way to inspect query parameters or request headers, and the time utilities feel disconnected from the URL-focused tools, so the overall surface is moderate rather than complete.