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cognitive.generate_and_prioritize_goals

Autonomous goal synthesis from world deficits, depleted reserves, and exploration frontiers with multi-criteria prioritization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_activeNo
world_stateNo
depleted_reservesNo
goal_status_updateNo
unexplored_frontiersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states the tool is 'autonomous' and performs 'multi-criteria prioritization,' but does not disclose whether it mutates goal state, replaces existing goals, requires prior conditions, or has side effects—critical gaps for an agent deciding to invoke it.

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?

A single dense sentence with no filler, front-loading the core action before elaborating input sources. However, the heavy jargon reduces readability, and splitting the description into purpose versus behavior would make it clearer.

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?

Given five optional parameters, no annotations, and an output schema, the description is too thin. It fails to explain the meaning of max_active or goal_status_update, what 'multi-criteria prioritization' entails, and in what situations an agent should call this rather than a sibling tool.

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 coverage is 0%, so the description must compensate. It maps three parameters conceptually ('world deficits' to world_state, 'depleted reserves' to depleted_reserves, 'exploration frontiers' to unexplored_frontiers), but leaves max_active and goal_status_update unexplained, and offers no details on expected formats or semantics for the mapped parameters.

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 identifies a specific verb+resource ('goal synthesis') and names the input sources (world deficits, depleted reserves, exploration frontiers) and prioritization behavior. This distinguishes it from sibling tools like compose_strategies or propose_strategy, though the jargon ('autonomous', 'deficits', 'frontiers') makes it less crisp than ideal.

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 to use this tool versus alternatives such as cognitive.propose_strategy, cognitive.compose_strategies, or cognitive.identify_task. No exclusions, preconditions, or contextual triggers are provided, leaving the agent to infer usage solely from the name.

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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