Skip to main content
Glama

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, the description carries the full behavioral burden, but it only says the tool fetches a remote public file and returns counts. It does not disclose error behavior for missing robots.txt files, how the fetch is performed, what 'group counts' entails, or whether any response/return structure will be provided.

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, front-loaded sentence with no wasted words. It communicates the primary action efficiently, though it sacrifices necessary supporting detail.

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?

Given zero required parameters, no output schema, no annotations, and four oddly mixed parameters, the description is far too thin for an agent to call the tool correctly. It fails to clarify which parameter supplies the target URL or host, what the return format is, or how failures are reported.

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?

Although schema description coverage is 100%, the parameter descriptions are generic and unrelated to robots.txt ('HTTPS URL to normalize or cite', 'JSON text to validate', 'IANA timezone name'), making it unclear which params actually drive the fetch. The description adds no mapping between its operation and the four parameters, and no required params reduce the ambiguity.

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 states a specific action ('Fetch a public robots.txt') and a precise output scope ('return group counts only'), so an agent can tell what the tool does. It does not explicitly differentiate from sibling tools, but the robots.txt resource is unique enough to avoid obvious confusion with normalize-url or validate-json.

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 when-to-use guidance, prerequisites, or exclusions are provided. An agent can only infer this is for robots.txt inspection; there is no mention of when to prefer this over a sibling or what conditions are required to use it successfully.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.4/5.0
Disambiguation2/5

Several tools overlap heavily: citation, normalize-url, and url-host all return host information for URLs, differing only in extra fields. timezone and utc-time both provide current time, and iana-zones is closely related. compatibility is vague and could be confused with citation or status-catalog.

Naming Consistency2/5

Names mix conventions inconsistently: some use verb_noun (normalize-url, validate-json, inspect-robots), while others are noun-like (citation, compatibility, timezone) or noun-noun (url-host, status-catalog, iana-zones). The pattern is not predictable, making it harder to anticipate related tools.

Tool Count3/5

Eleven tools is within a reasonable range for a utility server, but the scope is scattered across URL handling, timezones, JSON validation, and HTTP status codes. The count is not extreme, yet the tools feel less like a cohesive set and more like an arbitrary collection.

Completeness2/5

The stated domain is unclear—URL host utilities are mixed with unrelated time and validation helpers, so complete coverage is impossible to assess. For URL tools, there are multiple overlapping operations but no clear lifecycle; for time, there is no conversion or formatting beyond current time. Significant gaps exist for any single coherent purpose.