Skip to main content
Glama

IPv4 or IPv6, address 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that only group counts are returned ('return group counts only'), which is useful, but it does not disclose side effects (none expected for a fetch), network behavior, response format, throttling, or error handling (e.g., what happens for non-robots.txt URLs or invalid hosts).

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 short sentence with zero waste. It front-loads the primary action and scope clearly. It earns a high score for conciseness, though it is so brief that it lacks important detail.

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 is a fetch operation with no annotations and no output schema, the description is too incomplete. It does not clarify which parameter is the target (url vs host), why 'json' and 'zone' parameters exist, what the return structure looks like, or error behavior. The 4-parameter schema with 100% coverage still leaves semantic gaps that the description should fill.

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%, so the schema documents all four parameters. However, the description adds almost no meaning beyond the schema. It does not map parameters to behavior (e.g., whether 'url' is the target to fetch, whether 'host' is an alternative to 'url', or what 'json' and 'zone' have to do with robots.txt). The mismatch between the description (robots.txt only) and schema (url, host, json, zone) creates 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 ('Fetch') and resource ('public robots.txt'), and an action ('return group counts only'). However, it does not differentiate itself from sibling tools beyond being specific about the robots.txt resource, and the schema parameters (url, host, json, zone) suggest broader functionality that is not reflected in the description.

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 gives no guidance on when to use this tool versus alternatives. It implies usage via the verb 'Fetch', but does not specify conditions, prerequisites (e.g., URL must be publicly accessible), or when not to use it.

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

C2.7/5.0
Disambiguation4/5

Most tools target clearly distinct resources: URL components, IP version, robots.txt, time zones, JSON, and HTTP status codes. However, citation and normalize-url both operate on URLs, and compatibility is vague enough that an agent might pause to determine which tool applies.

Naming Consistency3/5

All names use lowercase hyphenation, which gives a consistent visual style. However, the set mixes verb-object names like normalize-url and validate-json with noun compounds like status-catalog and iana-zones, so there is no consistent semantic naming pattern.

Tool Count4/5

Eleven tools is a reasonable number for a utility server, and each tool performs a distinct small task. The scope is broad—covering URLs, HTTP, time, and JSON—so it feels less tightly focused than a single-domain server.

Completeness3/5

The set covers simple URL inspection, HTTP status lookup, current time retrieval, and JSON validation. Natural gaps remain, such as timezone conversion, HTTP header inspection, or deeper network diagnostics, so the surface is useful but not comprehensive.