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ExchangeRebel — pay-per-call APIs for AI agents (x402 on Solana)

injection_precheck

Read-onlyIdempotent

FREE verdict-line pre-check of one text your agent is about to read (100/day per wallet; pass caller). Submit { text, caller }; get the safe / suspicious / malicious verdict line only. Matched patterns and the sanitized copy are in the paid scan. Submitted text is processed in memory only and never stored.

Input Schema

NameRequiredDescriptionDefault
textYesThe text to screen (up to 8,000 characters).
callerYesSolana base58 wallet of the operator; keys the free allowance (100/day per wallet).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already cover readOnly/idempotent/non-destructive, and the description adds substantial context on top: a 100/day per-wallet rate limit keyed by caller, that only the verdict line is returned, and that text is processed in memory and never stored. That privacy and rate-limit detail is exactly the kind of behavior an agent cannot infer from structured fields.

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 sentences, front-loaded with the free/pre-check identity, then the return shape, then the privacy note. Every sentence carries distinct information with no padding.

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

Completeness5/5

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

For a two-parameter read tool with no output schema, the description covers purpose, return value (verdict line only), limits, and data handling. Nothing an agent needs to call it correctly is missing.

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 coverage is 100%, so both parameters are already documented, and the description mostly restates them ('pass caller', 'Submit { text, caller }'). It adds no format or constraint detail beyond what the schema provides, so baseline 3 applies.

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

Purpose5/5

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

States a specific verb+resource ('verdict-line pre-check of one text') and immediately scopes it against the paid scan, so an agent can tell it apart from injection_scan and injection_rules without opening either schema. The 'FREE ... verdict line only' framing makes the tool's identity unambiguous.

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?

The description establishes the use context ('one text your agent is about to read') and implicitly routes to the paid scan when matched patterns or sanitized copy are needed. It stops short of naming the sibling tool explicitly or stating when-not-to-use, but the free-vs-paid split is clear enough to select correctly.

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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