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get_convergence_picks

Today's top scored catalyst picks from the Catalyst Edge convergence model. Optional filters: conviction, sector. Free tier returns the top 3.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNomax picks (default 25; free tier capped at 3)
sectorNofilter by sector (substring match)
convictionNofilter by conviction level

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the free tier cap (limit 3) and optional filters, but lacks details on authentication, rate limits, or return behavior beyond that. Some behavioral context is added 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?

Two sentences with no wasted words. The first sentence states purpose, the second adds optional filters and constraints. Highly concise and front-loaded.

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?

Given no output schema, the description does not explain return format or fields. It covers core purpose and parameter constraints but leaves out details like order of results or behavior when no matches found. Adequate but not thorough.

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?

Schema coverage is 100%, so baseline is 3. The description adds value by noting the free tier limit affecting the limit parameter and clarifying that conviction filter uses specific levels. This goes beyond schema descriptions.

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 states retrieving top scored catalyst picks from a specific model, with optional filters. The verb 'get' and resource 'convergence picks' are specific, and the tool is distinct from siblings like get_options_context or get_ticker_signal.

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

Usage Guidelines3/5

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

The description implies use for obtaining top picks with optional filters, but provides no explicit guidance on when to use this tool over alternatives or when not to use it. Usage context is implied but not elaborated.

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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