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agent-tool-index

Find a public pay-per-call tool gateway for a task such as weather, search, scrape, or voice. Returns connection methods. 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

C2.9/5.0
Behavior3/5

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

The description is transparent about discarding task text and repeatedly notes that inputs are discarded after shape checks, with one mention of no disk access. However, it does not disclose whether the tool makes external network calls, whether it incurs costs, or whether it has any side effects beyond returning connection methods.

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 only three short sentences, with the main action stated first and no redundant prose. It efficiently communicates the core purpose, return value, and a key data-handling note.

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 description states what the tool returns but not how to invoke it, which parameters to supply for a given task, or what a 'connection method' actually looks like. With nine optional parameters, no output schema, and no annotations, an agent lacks 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?

The input schema provides 100% parameter descriptions, so the baseline for this dimension is met even though the top-level description adds no parameter-level detail. The schema descriptions themselves are cryptic, but the tool description does not contradict them.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific action—'find a public pay-per-call tool gateway'—and gives example task categories, but it never defines what a 'tool gateway' is or how the task is expressed. The connection between the provided input parameters and the task being indexed remains implicit.

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?

It lists example tasks like weather, search, scrape, or voice, which gives a rough sense of applicability, but there is no explicit guidance on when to use this tool versus sibling tools. An agent cannot determine the selection criteria or how to phrase the task.

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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