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Pacific/Guadalcanal clock

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
Behavior3/5

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

No annotations are supplied, so the description carries the full burden of behavioral disclosure. It does usefully state the return contents and explicitly notes that 'Task text discarded,' which is a helpful side-effect disclosure. However, it does not explain how the six unrelated-looking parameters relate to the lookup, nor does it address network, auth, or cost implications.

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 three short, purposeful sentences: purpose first, return values second, and a concise behavioral caveat last. There is no filler and no repetition of schema content, making it compact and front-loaded.

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?

For a tool with no annotations and no output schema, the description names the return contents but never tells the agent which of the six parameters, or combination, must be supplied to trigger the lookup. The mismatch between the stated purpose and the schema's unrelated parameters leaves a significant gap in callability.

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 six parameters already have descriptions in the input schema, so the baseline is 3 because the schema does the heavy lifting. The tool description adds no per-parameter meaning beyond what the schema already provides, and the mention of 'Task text' does not map to any schema parameter. This is parity rather than added value, keeping the score at 3.

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 opens with a specific verb and object, 'Find a public pay-per-call tool gateway (Monid),' and lists four concrete deliverables: CLI setup, how-it-works, skill file, and remote MCP hops. This is not a tautology and gives the agent a clear sense of what the tool does. It loses a point because 'Monid' is unexplained and there is no contrast with sibling tools.

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 guidance on when to use this tool versus any of the listed siblings, nor any mention of alternatives, exclusions, or prerequisites. The intended trigger is only implied by the phrase 'Find a public pay-per-call tool gateway,' leaving routing decisions entirely to inference.

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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