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prepare_paid_api_call

Prepare the exact paid API call recipe for one provider domain and intent. Returns target_url, method, required fields, examples, and next intent. Then call call_paid_api_endpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intentYesSupported intent returned by find_paid_api, for example search_flights.
provider_domainYesProvider domain returned by find_paid_api, for example travel.brij.fi.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. Calling it a 'recipe' preparation step and deferring the actual execution to call_paid_api_endpoint usefully implies this tool has no side effect, but it never states whether preparation costs anything, requires wallet balance, or how long the recipe stays valid.

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?

Three short sentences, front-loaded with the core purpose, then the return shape, then the follow-up call. No filler or redundant phrasing.

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?

An output schema exists, so enumerating the returned fields is a harmless bonus rather than a necessity. The workflow chain is complete, and the only gap is unstated preconditions such as whether a funded wallet is needed before preparing.

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 both parameters are already documented with examples ('search_flights', 'travel.brij.fi'). The description adds only the framing that there is exactly one provider domain and one intent per call, which the schema largely conveys, so baseline 3 is appropriate.

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 ('Prepare the exact paid API call recipe') and scopes it to 'one provider domain and intent', so the agent knows exactly what is produced. It positions itself in the workflow by naming the endpoint call that follows, though it never explicitly contrasts itself with find_paid_api, which is only implied through the parameter descriptions.

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?

'Then call call_paid_api_endpoint' gives an explicit next-step instruction, and the inputs are anchored to values produced by find_paid_api, forming a clear chain of usage. There is no explicit when-not-to-use guidance or statement of prerequisites (e.g., wallet balance), so it stops short of full routing.

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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