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AlaeddineMessadi

Gemini Embedding 2 MCP Server

search_my_documents

Search your indexed local documents and images with semantic understanding. Filter results by path, file type, or modality.

Instructions

Performs a semantic search over your previously indexed local documents AND images using the Gemini 2 Embedding model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo
scopeNo
typesNo
path_prefixNo
extensionsNo
modalitiesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Without annotations, the description bears full burden. It mentions semantic search and the model but fails to disclose read-only nature, rate limits, authentication needs, or behavior on no results. Minimal behavioral context.

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 a single concise sentence that gets to the point quickly. It is front-loaded with the key action, though it sacrifices completeness for brevity.

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 7 parameters with no schema descriptions and no annotations, the description is too brief. It does not cover filtering options or return type, leaving significant gaps despite the presence of an output schema.

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%, yet the description adds no parameter explanations. It only mentions 'documents AND images' but does not detail query, limit, scope, types, path_prefix, extensions, or modalities, leaving the agent to infer from names.

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 tool performs semantic search over previously indexed documents and images using Gemini 2 Embedding. It uses a specific verb and resource, distinguishing it from siblings like index_directory or list_indexed_directories.

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 explicit guidance on when to use this tool versus alternatives. The description implies it's for search but doesn't mention when to choose it over siblings like get_result_context or when not to use it.

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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