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zvec-ai

zvec-mcp-server

Official
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

Schema Changelog

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

  1. First observedv0.1.0

TDQS

B3.4/5.0
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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