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Find a public pay-per-call tool gateway for a task such as weather, search, scrape, or voice. Returns connection methods. Task text discarded.

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?

Since annotations are absent, the description carries the full burden of behavioral disclosure. It only states that 'Task text discarded' and that connection methods are returned, but does not disclose whether the tool has side effects, requires authentication, or how much of the input is truly processed. This is minimal for a tool that accepts 9 parameters.

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 two short sentences with no filler. It front-loads the primary action and return type, and the discarding behavior is mentioned early. It is appropriately concise, though one might argue it omits needed details in favor of brevity.

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?

For a tool with 9 parameters and no output schema, the description is incomplete. It does not explain what 'connection methods' look like, how they are structured, or how to use them. It also fails to explain the role of the many discarded parameters (ref, json, path, zone, query) – whether they are used to route the task or are just noise. This leaves an agent uncertain about how to call the tool effectively.

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 description coverage is 100%, so the schema already documents each parameter. The description does not add meaning beyond the schema; it only mentions 'task text discarded' without connecting that to the specific parameters. A baseline of 3 is appropriate because the schema does the heavy lifting, but the description fails to add any contextual value about how parameters relate to the gateway discovery.

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 clear verb-resource pair: 'find a public pay-per-call tool gateway' and mentions example task categories (weather, search, scrape, voice) plus the return type ('connection methods'). It distinguishes itself from sibling tools by focusing on gateway discovery rather than performing the task itself, though the phrase 'such as' leaves the scope slightly open.

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 explicit guidance is given about when to use this tool versus alternatives. The description mentions task categories but does not name or exclude any sibling tools, nor does it clarify scenarios where this tool is more appropriate than directly invoking a weather-hint or web-fetch. The expected usage is only implied.

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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