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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 provided, the description carries the full burden of behavioral disclosure. It does state that task text is discarded and that it returns connection methods, but it does not clarify whether the operation is read-only, whether it makes network calls, what side effects exist, or how the result is structured. This is a significant transparency gap for an index look-up tool.

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: the main purpose is front-loaded in the first sentence, followed by two short supporting clauses on the return value and input discard. It earns its place without padding. The slight ambiguity in 'connection methods' is a clarity issue, not a conciseness issue.

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 annotation, but the description does not suggest how to select or combine those parameters for a given task. It also does not explain what 'connection methods' means or how an agent should interpret the returned data. Given this complexity, the description leaves too much unspecified.

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%, giving each of the 9 parameters a clear schema-level explanation. The description itself adds little beyond naming example task types, and it does not explain parameter links to those task types or any dependencies. A score of 3 matches the baseline for high schema coverage when the description provides no additional parameter semantics.

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 specific verb and resource: to find a public pay-per-call tool gateway for categories like weather, search, scrape, or voice, returning connection methods. This is more detailed than a generic 'find' and clearly stands apart from sibling utilities that perform URL or path checks. It does not explicitly name siblings, but the purpose is unambiguous.

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 it should be invoked—when an agent needs a gateway for one of the listed task types—but it offers no explicit guidance on when this tool should be chosen over other tools or when to avoid it. There is no mention of alternatives or exclusions, leaving the selection decision largely 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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