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tiempor3al

learning-loop-mcp

by tiempor3al

Index

index

Index project lessons into a local SQLite index to enable fast search and validation. Optionally specify a lessons path or enable embeddings for richer queries.

Instructions

(Re)indexes the project into the local index. JSON with the number of lessons indexed. lessons_path is optional (default convention).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYes
lessons_pathNo
with_embeddingsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.4.0

TDQS

C2.7/5.0
Behavior2/5

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

There are no annotations, so the description must carry the burden of disclosing side effects. It hints at re-indexing behavior and returns a count, but it does not explain whether the existing index is overwritten, whether with_embeddings affects behavior, or whether the operation is safe/idempotent.

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 concise and front-loads the primary action. The output mention is useful and not redundant. It could be slightly richer with parameter hints, but every sentence 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?

The output schema covers return values, so the JSON count mention is somewhat redundant. However, the description fails to explain the required project parameter, the role of with_embeddings, or any side effects. For a tool with no annotations and 0% schema coverage, this is incomplete.

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 clarifies lessons_path ('optional, default convention'). It leaves the required project parameter unexplained and gives no meaning to with_embeddings, which is non-obvious from the schema alone. The description does not compensate for the schema gap.

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 states a specific action—'(Re)indexes the project into the local index'—and identifies the resource (lessons/project). It also mentions the JSON output, making it clear this is an indexing operation. It is distinct from siblings like search or reindex_solutions, though it does not explicitly differentiate.

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?

No guidance is given on when to use this tool versus siblings such as search, learning_status, or reindex_solutions. The only contextual hint is that lessons_path is optional, but there is no explicit when-to-use or when-not-to-use guidance.

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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