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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

C2.2/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior. It does reveal that task text is discarded and that some parameters are only length/shape checked, but it does not disclose side effects, authentication needs, rate limits, or what 'connection methods' means. The stated purpose of finding a gateway for a task is contradicted by the note that task text is discarded, so the actual behavior remains opaque.

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 short and to the point: it states the goal, the output, and a key behavioral caveat in three sentences. There is no redundant content, though the phrasing 'public pay-per-call tool gateway' is awkward and could be clearer.

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 complexity of nine optional parameters, no output schema, and no annotations, the description is too thin. It does not explain what to provide, whether all parameters are truly optional, what 'connection methods' looks like, or what happens if no parameters are supplied. The tool remains hard to invoke correctly.

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% and each parameter already has a description such as 'discarded after the length check' or 'no disk access.' The tool description adds little beyond the schema; it does not clarify how to choose among the nine optional parameters or how they relate to the stated purpose, so it stays at the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a general goal ('Find a public pay-per-call tool gateway') and output ('Returns connection methods'), but the selection mechanism is unclear. It lists example tasks like weather, search, scrape, or voice, yet immediately undercuts this by saying 'Task text discarded,' so it is not clear what input actually drives the tool.

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

Usage Guidelines1/5

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 instead of any of the many sibling tools (e.g., weather-hint, search-query-len, normalize-url). No conditions, prerequisites, or examples of appropriate invocation are provided, and the sentence about task text being discarded makes the intended usage even less clear.

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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