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chroma_peek_collection

Inspect documents within a specified Chroma collection by specifying the collection name and desired document limit. Enables quick viewing of data stored in the database.

Instructions

Peek at documents in a Chroma collection.

Args:
    collection_name: Name of the collection to peek into
    limit: Number of documents to peek at

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collection_nameYes
limitNo

Implementation Reference

  • The handler function for 'chroma_peek_collection' tool. Decorated with @mcp.tool() for registration. Fetches the Chroma client, gets the collection by name, peeks at up to 'limit' documents, and returns the results.
    @mcp.tool()
    async def chroma_peek_collection(
        collection_name: str,
        limit: int = 5
    ) -> Dict:
        """Peek at documents in a Chroma collection.
        
        Args:
            collection_name: Name of the collection to peek into
            limit: Number of documents to peek at
        """
        client = get_chroma_client()
        try:
            collection = client.get_collection(collection_name)
            results = collection.peek(limit=limit)
            return results
        except Exception as e:
            raise Exception(f"Failed to peek collection '{collection_name}': {str(e)}") from e
  • The @mcp.tool() decorator registers the 'chroma_peek_collection' function as an MCP tool.
    @mcp.tool()
  • Input schema defined by function parameters (collection_name: str, limit: int=5) and docstring. Output is Dict from Chroma peek().
    async def chroma_peek_collection(
        collection_name: str,
        limit: int = 5
    ) -> Dict:
        """Peek at documents in a Chroma collection.
        
        Args:
            collection_name: Name of the collection to peek into
            limit: Number of documents to peek at
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions 'peek' which suggests a read-only, non-destructive operation, but doesn't clarify permissions, rate limits, or what 'peek' entails (e.g., returns metadata, snippets, or full documents). For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 appropriately sized and front-loaded with the core purpose in the first sentence, followed by parameter explanations. It avoids unnecessary details, but the parameter section could be integrated more seamlessly. Overall, it's efficient with minimal waste.

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 2 parameters, no annotations, and no output schema, the description is moderately complete. It covers the basic purpose and parameters but lacks details on behavior, output format, or error handling. For a read operation in a context with multiple sibling tools, more guidance on use cases and results would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaningful context beyond the input schema, which has 0% description coverage. It explains that 'collection_name' is for the collection to peek into and 'limit' controls the number of documents, clarifying their roles. With 2 parameters and low schema coverage, this compensates well, though it doesn't detail format constraints or default behavior for 'limit'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with the verb 'peek at' and resource 'documents in a Chroma collection'. It distinguishes from siblings like chroma_get_documents or chroma_query_documents by implying a lightweight, non-querying inspection, though not explicitly named. However, it doesn't fully differentiate from chroma_get_collection_info which might also provide collection insights.

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 is provided. The description implies a quick look at documents, but it doesn't specify scenarios like previewing content, checking data quality, or comparing to chroma_get_documents for full retrieval. Without context on use cases or exclusions, the agent must infer usage.

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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