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cognitive.compile_invariant_lattice

Compile a Dynamic Constraint Lattice (DCL) into algebraic boundaries, conservation laws, and reachability cones.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_dataNo
step_budgetNo
initial_stateNo
goal_conditionsNo
task_structure_idNo
max_rate_of_changeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. 'Compile into' implies a computational transformation, but the description does not disclose whether this is read-only, whether it requires a valid lattice, what happens on invalid input, or what outputs are returned.

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 description is a single tight sentence, defines the DCL acronym, and front-loads the core transformation. It is efficient, though somewhat under-specified given the tool's parameter complexity.

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?

With no annotations and opaque optional parameters, the description is insufficient for an agent to know when to call this tool, what input structure is expected, or how the DCL is represented. The output schema may cover return values, but selection and parameter usage remain unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description references none of the six parameters. It does not map task_data, initial_state, goal_conditions, or max_rate_of_change to the DCL compilation process, leaving the agent unable to determine how to populate the inputs.

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 uses a specific verb ('Compile') and resource ('Dynamic Constraint Lattice') and names three concrete output categories: algebraic boundaries, conservation laws, and reachability cones. It is not a tautology, though it does not explicitly differentiate from related lattice-focused siblings.

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, no stated prerequisites, and no exclusions. Given the large sibling set, the agent receives no selection criteria beyond the tool's own 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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