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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

B3.1/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions that task text is discarded and that it returns connection methods, but it does not clarify side effects, read-only status, cost implications, or the nature of the returned data. The 'pay-per-call' hint suggests potential cost but is not explicit. This is insufficient for an agent to understand the tool's behavior.

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 concise, consisting of two sentences with no wasted words. The primary purpose is stated first, making it front-loaded and easy to scan. However, the brevity comes at the cost of detail, but structure itself is efficient.

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?

The tool has 9 optional parameters and no output schema, so the description needs to explain how parameters map to the mentioned task types and what 'connection methods' means. It fails to do so, leaving agents uncertain about which parameter to supply for which task and what the return format will be. This is a significant gap for a tool of this complexity.

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 are fully documented in the input schema (100% coverage), so the schema carries the parameter descriptions. The description adds no parameter-specific meaning; the only relevant statement, 'Task text discarded,' is ambiguous and not tied to any parameter. Since the schema covers parameters, the baseline of 3 is appropriate.

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 purpose: to find a public pay-per-call tool gateway for tasks like weather, search, scrape, or voice, and that it returns connection methods. It differentiates itself from sibling tools by being a gateway finder rather than an actual operation tool, though it does not name specific siblings.

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 provides examples of task types (weather, search, scrape, voice) that imply when this tool is appropriate, but it lacks explicit guidance on when to use it versus alternative tools like weather-hint or search-query-len. There are no exclusions or alternative names mentioned, so the usage context 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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