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Get top prediction signals

get_top_signals

Return the highest-conviction filing predictions from the last 90 days, ranked by |predicted 30-day alpha| weighted by confidence. These are the model's strongest current directional calls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden, and it does disclose useful traits: 90-day window, |predicted 30-day alpha| ranking, confidence weighting, and that these are the model's strongest directional calls. It does not state read-only status, permission requirements, or whether results are paginated beyond the limit control.

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?

Two tightly written sentences with the scoping and ranking information front-loaded. No sentence is wasted.

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?

For a no-annotation, no-output-schema tool, the description explains the signal type, time window, and ranking method. It still omits usage routing and the only parameter's semantics, leaving an agent with gaps in invocation clarity.

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 description coverage is 0% and the description never mentions the sole limit parameter. The schema supplies type, default, and min/max, but the description adds no meaning about what limit controls or how many signals are returned.

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?

It states a specific verb and resource: return filing predictions, plus scope (last 90 days) and ranking logic. It is clearly about model signals, but it never names or contrasts with siblings like get_model_track_record or get_latest_filings.

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 description explains what is returned but gives no explicit when-to-use guidance and no alternatives. It does not tell an agent when to call this instead of get_model_track_record, get_filing_analysis, or get_latest_filings.

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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