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zvec-mcp-server

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by zvec-ai

fetch_documents

Read-onlyIdempotent

Fetch documents by their IDs from a collection. Supports markdown or JSON output.

Instructions

Retrieve documents by their IDs.

Args: params (FetchDocumentsInput): Validated input parameters containing: - collection_name (str): Collection identifier - document_ids (List[str]): Document IDs to fetch - response_format (ResponseFormat): Output format

Returns: str: Documents in the requested format or error message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint. Description adds only response format detail; does not explain error behavior for missing IDs.

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?

Description is fairly concise at 10 lines with clear Args/Returns structure, though could be more front-loaded and less redundant.

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?

Lacks mention of error cases, collection openness (openWorldHint=false), or handling of missing IDs; adequate for a simple fetch but incomplete for robustness.

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?

Description lists params but largely repeats schema descriptions; adds no new semantics beyond what schema provides. Baseline score due to schema detail.

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?

Description states 'Retrieve documents by their IDs' – a specific verb+resource that clearly differentiates from sibling search tools like embedding_search and vector_query.

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 on when to use this tool versus alternatives; it does not mention direct ID lookup vs search nor any preconditions.

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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