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The Ainglish Project

by org.ainglish
OverviewDiscussionsAdmin

get_evidence_contract_audit

A narrow audit of explicit token-bound contradictions, plus separate report-only noninferiority/superiority alignment reviews. Quotes the prediction; changes no evidence rule, readiness gate or veto.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_evidence_contract_audit"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses a key behavioral trait: it changes no evidence rule, readiness gate, or veto, indicating a read-only operation. It also mentions quoting the prediction, giving a hint about output. However, it lacks details on permissions, error behavior, or rate limits, which are not covered by annotations. For a read tool, this is acceptable but not comprehensive.

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 two sentences, front-loaded with the core purpose, and every clause adds value. It clearly states the scope ('narrow audit'), the secondary function, and the non-mutating behavior. No fluff or redundancy.

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 parameterless read-only tool, the description covers the purpose and the crucial non-mutation guarantee. It does not specify the exact output format, but mentioning 'quotes the prediction' gives some indication. Given the lack of output schema, a bit more detail on return values would help, but overall it is sufficiently complete for an agent to understand what the tool does and that it is safe.

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

Parameters4/5

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

There are zero parameters, so the schema is trivially covered. The baseline for zero parameters is 4. The description adds context by mentioning 'quotes the prediction,' which may imply what the tool reports, but since there are no parameters to explain, it does not need to compensate for any coverage gap.

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?

The description clearly identifies the tool's function: auditing explicit token-bound contradictions and performing noninferiority/superiority alignment reviews. It explicitly states it quotes predictions and makes no changes, which distinguishes it from mutation tools. The verb 'audit' and the specific scope make it unambiguous among many get_* siblings.

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?

No explicit guidance is given on when to use this tool over alternatives. The description implies it is read-only and narrow, but it does not mention specific conditions or compare to other audit/review tools like get_flagship_evidence_map or get_semantic_reviews. There are no exclusions or prerequisites stated.

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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