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Find a public pay-per-call tool gateway (Monid). Returns CLI setup, how-it-works, skill file, and remote MCP hops. 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

B3.2/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden. It does disclose that task text is discarded and that the tool returns artifacts rather than mutating them, but it omits other behavioral details such as cost, auth, error behavior, and whether external calls are made. This is a meaningful gap for a tool with zero annotation coverage.

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 definition is three short sentences with no filler. The core action is front-loaded and each sentence contributes either the target, the outputs, or the privacy-relevant 'task text discarded' note.

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 six-parameter tool with no output schema and no annotations, this is incomplete. It lists returned artifacts but does not explain the role of the six parameters, expected input relationships, failure modes, or how the returned information is structured.

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 baseline is 3. The tool description adds almost no parameter-level meaning beyond the schema; it does not explain how the six heterogeneous inputs (ref, url, city, feed, host, json) relate to finding the Monid gateway.

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 specific target (a public pay-per-call tool gateway called Monid), a clear retrieval verb ('Find'), and the main artifacts returned (CLI setup, how-it-works, skill file, remote MCP hops). It is clear as a purpose, but it does not explicitly differentiate from sibling tools such as web-fetch or the URL-shape validators.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The use case is implied: call this when you need Monid's setup or integration documentation. There is no explicit when-not-to-use guidance or reference to alternatives, so an agent has to infer the boundary between this and generic fetch/validation tools.

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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