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Asia/Barnaul 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

B3.4/5.0
Behavior3/5

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

The description disclosed that 'Task text discarded' and that it returns connection methods, which gives some indication of processing behavior. However, it does not explain what happens to other input parameters or the nature of the connection methods (e.g., URLs, API keys). Since no annotations were provided, the description carries the transparency burden but only partially fulfills it.

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 extremely concise, consisting of two short sentences. It avoids unnecessary words and clearly separates the main action from additional notes. No redundant information is present, and the structure is easy to parse.

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 gives a high-level overview but lacks details on the expected output format, error handling, or how the returned connection methods should be used. Given that the tool has 9 optional parameters and no output schema, this missing context makes it harder for an agent to fully understand the tool's behavior and integrate it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema includes descriptions for all 9 parameters, each explaining the parameter's purpose and often noting side effects (e.g., 'discarded after the shape check'). This provides strong semantics. However, the tool description itself does not clarify how these parameters map to the overall task of finding a gateway, leaving integration details to the user.

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 clearly states the tool's purpose: to find a public pay-per-call tool gateway for tasks like weather, search, scrape, or voice. It also specifies that it returns connection methods. However, the term 'tool gateway' is somewhat vague, and the description doesn't precisely scope what types of gateways are included, leaving some ambiguity.

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 does not provide any explicit guidance on when to use this tool versus the many sibling tools. It does not mention alternative tools or conditions for selection. Users must infer from the examples (weather, search, etc.) when this meta-tool is appropriate, which is insufficient.

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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