Skip to main content
Glama
ThoughtProof

thoughtproof-mcp

Official

verify_trade

Verify a trade action is sound by checking the agent's reasoning against an adversarial multi-model panel; returns an ALLOW or HOLD verdict with signed attestation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesThe action the agent intends to execute, e.g. 'open 5x long BTC, 8000 USDC margin' or 'swap 10 ETH for USDC'.
thesisYesThe agent's one-line decisive rationale for the action.
reasoningYesThe full reasoning chain that produced the decision — the actual chain of thought, not a summary. This is what ThoughtProof verifies.
situationNoOptional market/context snapshot WITHOUT the chosen action. Lets the adversarial panel form an independent view before seeing the decision (stronger verification).
stakeLevelNoStake level — drives the verdict threshold. Higher stake demands higher reasoning soundness to ALLOW: the SAME decision can ALLOW at low stake and BLOCK/UNCERTAIN at critical stake. Default 'high' (suitable for leveraged capital). 'micro' runs the fast Sentinel-only gate; everything else runs the full Sentinel→RV adversarial pipeline.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.1

TDQS

D1/5.0
Behavior1/5

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

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

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

Completeness1/5

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

Tool has no description.

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

Parameters1/5

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

Tool has no description.

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

Purpose1/5

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

Tool has no description.

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

Usage Guidelines1/5

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

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.