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cognitive.synthesize_singular_path

Synthesize an optimal, invariant-verified trajectory from initial state to goal through the singular bottleneck.

Eliminates dead-end branching and hallucinated unfeasible solutions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_dataNo
lattice_idNo
step_budgetNo
initial_stateNo
goal_conditionsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
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 does add behavioral context: the trajectory is 'invariant-verified' and it 'eliminates dead-end branching and hallucinated unfeasible solutions.' However, it does not clarify side effects, whether the tool is read-only, or what happens when no path exists.

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?

The description is two sentences with no redundancy. It front-loads the main action and follows with a relevant differentiator. Every word 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?

Given five parameters with zero schema descriptions and no annotations, the description is not complete for reliable invocation. It does not explain key inputs like lattice_id or step_budget, and the phrase 'singular bottleneck' is undefined. The presence of an output schema helps with return values, but input understanding remains insufficient.

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 only partially maps to parameters by mentioning 'initial state' and 'goal'. The parameters task_data, lattice_id, and step_budget are not explained at all, leaving the agent without enough information to fill them correctly.

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 states a specific verb ('synthesize'), a clear resource ('optimal, invariant-verified trajectory'), and the scope ('from initial state to goal through the singular bottleneck'). This is distinct from sibling tools like tree_search or hierarchical_plan, making the tool's purpose unambiguous.

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 does not explicitly state when to use this tool over alternatives. It mentions benefits like eliminating dead-end branching, but does not clarify conditions, prerequisites, or situations where another tool would be more appropriate. No alternatives are cited.

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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