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match_signals

Match a trading description to ranked signals.

[Access: pay 0.01 USDC via x402 (PAYMENT-SIGNATURE header) OR authenticate with an API key. An x402-capable client will auto-pay; API-key clients pay nothing per call.]

Input Schema

NameRequiredDescriptionDefault
roleNoSignal role
top_kNoNumber of matches to return
descriptionYesNatural language description of the desired signal/rule
user_intentNoOptional intent dict (e.g., from intent extractor)
regime_directionNoMarket regime band
similarity_thresholdNoMinimum similarity score to include

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose real operational context: per-call pricing (0.01 USDC via x402), the PAYMENT-SIGNATURE header, and that API-key clients pay nothing and auto-pay clients settle automatically. However, it says nothing about read-vs-write semantics, rate limits, or what a ranked result contains.

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 purpose is front-loaded in a single crisp sentence, with access/payment details kept in a bracketed aside. Tight and well-ordered, with only mild verbosity in the payment parenthetical.

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

Completeness3/5

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

Six parameters including a nested object and no output schema, yet the description neither sketches the ranked return shape nor addresses the underspecified user_intent dict. It is adequate on access mechanics but leaves the matching behavior and result form to inference.

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%, so role, top_k, similarity_threshold, and description are already documented in the schema. The description adds no syntax or behavioral detail, such as how similarity_threshold interacts with top_k or what the nested user_intent object accepts.

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: matching a natural-language trading description against ranked signals. That is clearly distinct from list_signals or get_signal, though it never names the closest sibling, search_signals, to draw the boundary explicitly.

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 only usage guidance is about payment and auth, not about when to choose this tool over search_signals, list_signals, or query_signal_behavior. An agent gets no criteria for selecting this tool versus its obvious neighbors.

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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