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Yards to meters

agent-tool-index

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?

With no annotations provided, the description carries the full burden. It mentions 'pay-per-call' (hinting at cost) and 'Task text discarded' (hinting at data handling), but it does not disclose potential side effects, external calls, or failure modes. The behavior is only partially transparent.

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 succinct, consisting of two short sentences. It avoids unnecessary detail and is easy to scan, with the core purpose and key behavior stated clearly without verbosity.

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 no output schema, the description does not explain what 'connection methods' are or how they are returned. It also fails to clarify how the 9 parameters interact with the finding logic, leaving significant ambiguity about expected inputs and outputs. The tool appears to be a catch-all, but the description lacks completeness for such a broad role.

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?

All 9 parameters have schema descriptions (100% coverage), but many are cryptic or note that values are 'discarded' (e.g., ref, city, json). This adds some meaning (e.g., city is a hint), but it does not clarify how parameters directly influence the gateway selection. The descriptions are sufficient to avoid misuse but not fully informative.

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 clearly states the tool's purpose: finding a public pay-per-call tool gateway for tasks like weather, search, scrape, or voice. It distinguishes itself from specific sibling tools (e.g., weather-hint, search-query-len) by indicating this is a higher-level discovery tool, though it could be more precise about the exact scope.

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 description implies when to use the tool ('for a task such as...') but does not explicitly state when not to use it or how it relates to alternative approaches (e.g., directly calling a specific tool). It gives some context but lacks clear exclusions or decision guidance.

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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