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get_lesson_template

Retrieve the canonical LL-XXX-NNN lesson block template, field descriptions, and usage instructions; optionally include project-specific scope suggestions.

Instructions

Return the canonical ## LL-XXX-NNN atomic block template, its field descriptions, and usage instructions.

Access level: read. Returns: JSON with template, fields, usage, and (if project_id given) scope_suggestions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoIf given, also returns recommended scope_suggestions for this project.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the burden but does state 'Access level: read' and describes the conditional behavior of project_id triggering scope_suggestions. For a pure read-only getter this is adequate, though it discloses nothing about output size, caching, or error modes.

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?

Three short, front-loaded lines: purpose first, then access level, then return shape. No filler and the conditionality of scope_suggestions is stated compactly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-optional-param read-only tool with an output schema, the description is nearly sufficient: it names the payload keys and the conditional behavior. The only gap is the absence of routing guidance to sibling template tools, which keeps it short of a 5.

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 100% and the single project_id parameter is already documented in the schema. The description's '(if project_id given) scope_suggestions' repeats that schema text nearly verbatim rather than adding syntax or format detail, so the baseline 3 applies.

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?

States a specific verb and resource: returns the canonical `## LL-XXX-NNN` atomic block template plus its field descriptions and usage instructions. An agent can distinguish it from get_rule_template by the 'LL-XXX' namespace, but the description never explicitly names or contrasts the sibling rule/transcription templates.

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 when-to-use guidance. It does not say to call this before authoring a lesson, nor when to prefer it over get_rule_template or get_transcription_template. Usage must be inferred purely from the returned payload.

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