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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
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It does add an important transparency note: 'Task text discarded' and several parameters being discarded after shape checks. However, it does not state whether the tool makes network calls, whether costs are involved despite 'pay-per-call', what the return format is, or how errors surface.

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 three short sentences with no filler; the main action is front-loaded and the transparency note is placed at the end. It is concise, though 'Monid' and 'MCP hops' are unexplained jargon that an agent may not know.

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, no output schema, and no annotations, yet the description does not specify what a valid invocation looks like, which parameters matter, or what the returned data structure contains. Given the unusual 'discarded after shape check' semantics, an agent is left without enough context to call the tool confidently.

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; each parameter already has a meaningful schema description. The tool description only adds a high-level note that task text is discarded, without explaining which of the nine optional parameters actually affect the lookup or whether the tool can be called empty. This is adequate but not additive.

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 resource ('public pay-per-call tool gateway (Monid)') and a clear verb ('Find'), then lists concrete outputs: CLI setup, how-it-works, skill file, and remote MCP hops. It is distinguishable from all siblings, none of which are gateway-index tools. Slight ambiguity remains because the description does not clarify what input would drive the 'find' behavior.

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?

The description gives no guidance about when to use this tool instead of sibling tools such as web-fetch, normalize-url, or citation, and it names no alternatives. The only implicit usage signal is that an agent should call it when it needs Monid's setup information, but no explicit conditions or exclusions are stated.

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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