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find_paid_api

Find the best paid API provider for a user intent. Returns a small domain-based menu. Next call prepare_paid_api_call with provider_domain and intent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intentYesNatural language description of what the user wants to do, for example search flights from Madrid to Barcelona.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden alone. It does disclose the return shape ('a small domain-based menu') and the key downstream input (provider_domain), which is genuinely useful, but says nothing about cost, authentication, rate limits, or whether the underlying paid APIs are actually invoked.

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?

Three short sentences, front-loaded with the purpose and followed immediately by the return shape and the next call. No filler; the only slight weakness is that the final sentence compresses two facts (next tool plus its required arguments) into one line.

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

Completeness4/5

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

For a single-parameter discovery tool with an output schema, the essentials are covered: what it finds, what it returns, and how to continue. It stops short of noting the wallet/cost implication that the sibling check_wallet_balance hints at, which would help an agent plan the paid flow.

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% and there is only one parameter, so the baseline is 3. The description's phrase 'for a user intent' reinforces the schema's natural-language intent semantics but adds no format, length, or example guidance beyond what the schema already gives.

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?

States a specific verb and resource ('Find the best paid API provider for a user intent') and names the follow-up tool, which distinguishes it from call_paid_api_endpoint and prepare_paid_api_call. It does not explain how it relates to the domain-specific travel_* siblings, so differentiation is partial rather than complete.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear context for use: it is the discovery step whose output feeds prepare_paid_api_call with provider_domain and intent, so the agent knows what to do before and after. No explicit when-not conditions or alternative discovery paths are stated, which keeps it short of a 5.

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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