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rep_agi_prepaid_tokens

Purchase an Oblique-controlled prepaid HTTP-data access token using the machine-friendly Apify-compatible request and response shape. $1.00/call via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

C2.7/5.0
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 reveals that this is a purchase (financial mutation) via x402 and the cost, but it does not describe side effects, required authentication, reversibility, or what the returned token grants. The phrase 'prepaid HTTP-data access token' hints at future use, but critical behavioral details are missing.

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 a single, efficient sentence that front-loads the core purpose and pricing. It is concise and free of fluff, though it may be too brief to cover necessary context—still, it earns full marks for conciseness.

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?

Given the complex nested input schema (method, headers, queryParams) and no output schema, the description is insufficient. It does not instruct the agent on how to construct the request, what the response will look like, or any call expectations beyond the price. An agent would struggle to assemble a correct call without deep schema inspection.

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

Parameters2/5

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

The tool description adds no explanation of parameters. The schema already documents the nested 'input' object with constraints, and the amount property has a helpful inline description. However, with 0% schema description coverage at the top level and a complex nested structure, the description should at least summarize the required fields and format, which it does not.

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 action (purchase) and the resource (prepaid HTTP-data access token), and mentions the Apify-compatible shape and pricing. This is specific and unambiguous, but it does not contrast with sibling tools like rep_cheaptokens_buy or purchase_web_extraction_sample, so it lacks differentiation.

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 gives no guidance on when to use this tool versus alternatives. It mentions '$1.00/call via x402' but does not state prerequisites, exclusions, or contexts where another tool would be preferred. The agent is left to infer usage from the schema and tool name.

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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