Skip to main content
Glama

Snowflake id shape

inspect-robots

Fetch a public robots.txt and return group counts only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are present, so the description must carry the full behavioral burden. It specifies that only group counts are returned and restricts itself to public robots.txt, but it doesn't disclose HTTP mechanics, side effects, or how the parameter set interacts with fetching. The sparse wording leaves important behavioral traits implicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, compact sentence that captures the core behavior with no filler. Each word earns its place, and the 'only' qualifier sets clear expectations about output granularity.

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 nine parameters, no output schema, and zero annotations, the description is far too thin. An agent has no way to know which parameter drives the fetch, how the 'group counts' are structured, or what happens to the other eight parameters. The mismatch between the simple robots.txt claim and the generic-looking parameter list creates serious ambiguity.

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?

Schema coverage is 100%, so the baseline is 3 even without additional parameter info in the description. The description doesn't map any of the nine parameters to the robots.txt fetch—it's not clear whether 'url' or 'host' is used—so it adds no value beyond the schema itself.

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 names a clear action (fetch) and resource (public robots.txt) and specifies the output shape (group counts only). It doesn't explicitly differentiate from sibling fetch-like tools, but the purpose is obvious from the name and 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?

There is no guidance on when to use this tool over siblings like web-fetch or fetch-status. It doesn't mention the required input (which parameter supplies the robots.txt URL), nor any preconditions or alternatives, leaving invocation decisions entirely to the agent.

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.