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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

B3.4/5.0
Behavior4/5

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

Annotations already mark it readOnly, idempotent, and non-destructive; the description adds valuable behavior beyond that by noting 'Task text discarded' and listing the artifacts returned. The 'public' and 'pay-per-call' phrasing also hints at access/cost characteristics not covered by annotations.

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 one efficient sentence that front-loads the primary action and object, then lists the returned contents. It contains no filler and covers the essential behavior without unnecessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description names the return artifacts and key constraint, and the schema covers parameters, so basic calling is feasible. However, it does not explain how to choose among the six heterogeneous parameters, whether any are required, or what exactly 'Task text discarded' means for invocation, and there is no output schema to fill that gap.

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 parameter semantics are already fully provided in the schema. The tool description itself does not add meaning about which parameter to choose or how they relate, but that is acceptable given the schema already documents each field.

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 gives a specific action and object: 'Find a public pay-per-call tool gateway (Monid)' and lists concrete outputs ('CLI setup, how-it-works, skill file, and remote MCP hops'). This makes the tool's role fairly clear and differentiates it from sibling URL/weather/validation tools, though 'tool gateway' and 'Monid' remain somewhat unexplained.

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?

There is no explicit guidance on when to use this tool versus alternatives like web-fetch or validate-json, and no preconditions or selection criteria. The only implied usage is 'find Monid', which is essentially a restatement of purpose rather than actionable usage context.

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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