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evaluate_pedagogical_policy

Assess the tutoring policy for a given session state to determine the next pedagogical action without persisting a decision. Use this to preview mastery, prerequisite, and spacing recommendations.

Instructions

Evaluate the policy for the current state without persisting a decision.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
node_idNo
session_idYes
trigger_eventNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

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 burden of behavioral disclosure. It does disclose a key trait—no decision is persisted—which is important and not inferable from the schema. However, it does not say whether the call is fully read-only, what side effects if any occur, whether permissions are required, or what the response contains.

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?

A single sentence that front-loads the action and the crucial non-persistence qualifier. There is no filler; every word contributes to the meaning.

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?

Even for a simple tool, the lack of an output schema and annotations means the description should explain the return value and parameter semantics; it does neither. The agent knows this evaluates without persisting but not what it receives back or how node_id/trigger_event influence the evaluation.

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 does not mention session_id, node_id, or trigger_event at all. It therefore adds no meaning to the parameter names, despite those names being somewhat self-explanatory.

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 names a specific action ('Evaluate') and resource ('the policy for the current state'), and explicitly sets it apart from commit_pedagogical_decision by saying no decision is persisted. It would be a 5 if it clarified what kind of result the evaluation yields, since 'policy' is otherwise ambiguous.

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 phrase 'without persisting a decision' implies this is a dry-run or non-committing alternative to commit_pedagogical_decision, but it never names that tool or states when to prefer evaluation over other policy/strategy tools such as get_available_strategies. The usage context is implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.