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uiqkos

LlamaCloud RAG MCP Server

by uiqkos

search_documents

Retrieve relevant documents from a knowledge base using semantic search. Specify the query and number of documents to return.

Instructions

Search for relevant documents in the knowledge base without generating an answer

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for semantic document retrieval
top_kNoNumber of documents to return (1-10)
Behavior3/5

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

With no annotations provided, the description fully carries the transparency burden. It accurately describes the core behavior (search, no answer) but omits details like return format, pagination, or any side effects. This is adequate but not thorough.

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 a single efficient sentence that front-loads the key verbs and resource, with zero extraneous words.

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

Completeness3/5

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

Given the tool's simplicity (2 params, no output schema), the description is adequate but lacks any mention of return structure or error behavior, which would be helpful for an agent.

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%, so the schema already documents both parameters. The description adds no new semantic detail for the parameters themselves, meeting the baseline for full schema coverage.

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 'search' and the resource 'documents in the knowledge base', and explicitly distinguishes this tool from answer generation, making its purpose unmistakable.

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?

It explicitly notes that the tool does not generate an answer, implying it should be used when only document retrieval is needed. Sibling tools (query_rag for answers, get_index_info for index info) provide clear alternatives, though no explicit 'when not to use' statement is given.

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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