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Nishant-Chaudhary5338

mcp-code-indexer-react-ts

build_embeddings

Compute local vector embeddings for indexed code nodes to enable semantic search. Incrementally updates only changed nodes.

Instructions

Compute local vector embeddings for the indexed nodes (enables semantic_search). Idempotent + incremental — only changed nodes are re-embedded. No-op if the local model is unavailable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rootNoRepo root (defaults to cwd)
Behavior4/5

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

With no annotations, the description carries full burden. It discloses idempotence, incremental behavior, and no-op handling for missing model. It does not cover performance or resource implications.

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, front-loaded with purpose and behavior, with no extraneous words.

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 simple tool with one optional parameter and no output schema, the description covers purpose, behavior, and edge cases. It lacks explicit mention of prerequisites or return information.

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% for the single optional parameter 'root'. The description does not add any information beyond the schema's description, so it meets the baseline but does not enhance it.

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 clearly states the verb 'compute', the resource 'local vector embeddings for indexed nodes', and the purpose 'enables semantic_search'. It is specific and distinguishes from sibling tools like semantic_search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides guidance on idempotence, incremental updates (only changed nodes), and graceful degradation (no-op if model unavailable). However, it does not explicitly compare to other tools or state when not to use.

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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