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validate_signal_params

Validate parameters for a signal.

[Access: pay 0.001 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
parametersNo
signal_nameYesSignal name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden, and it does usefully disclose the access model (0.001 USDC via x402 with a PAYMENT-SIGNATURE header, or an API key with no per-call cost). What it omits is the core behavior: what 'validate' actually checks, whether the call has side effects, and what happens on invalid input.

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 sentence, which is the right structure. The bracketed access note occupies roughly half the text but conveys genuinely non-recoverable billing information, so it mostly earns its place.

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?

For a tool whose main input is a free-form nested object and which has no output schema and no annotations, the description leaves too much open. It says nothing about the shape of `parameters` or what a successful versus failed validation returns.

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?

Schema coverage is 50% and the one described parameter ('Signal name') is a restatement of the field name. The nested `parameters` object, defaulting to {}, is the substantive input and gets no explanation at all — the description does not say it should hold signal-specific configuration keys.

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?

States a specific verb and resource ('validate parameters for a signal'), which is more precise than a bare name restatement. However, it never distinguishes itself from nearby evaluation tools like evaluate_signal or get_signal, so an agent cannot tell from the text whether this is a dry-run check or a step inside a larger workflow.

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?

There is no guidance on when this tool should be called rather than evaluate_signal, match_signals, or query_signal_behavior, and no prerequisites or exclusions are given. The only conditional content is about payment, not about tool selection.

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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