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pinecone_index_capabilities

Check the search capabilities of a Pinecone index before querying. Returns dense/sparse/full-text fields, dimensions, and valid search modes.

Instructions

Report which searches an index can answer, and with which fields.

Call this before searching an index you did not create in this session. It names the dense / sparse / full-text fields, the dimension each dense field expects, and the list of valid mode values for pinecone_search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexYes
refreshNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It discloses what information is returned (fields, dimensions, modes), which is useful, but does not mention whether the call is read-only, whether it caches results, what the refresh parameter does, or any side effects. The 'refresh' parameter is only implied by the description's silence, leaving a notable gap for a metadata-inspection tool.

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 three concise sentences, front-loaded with the core action and immediately followed by the critical usage precondition. Every sentence adds value and there is no redundancy.

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

Completeness4/5

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

Given that the tool has an output schema, the description need not detail return values, and it appropriately focuses on what capabilities are reported. However, the lack of any explanation for the 'refresh' parameter and the absence of behavioral details for an unannotated tool leave minor gaps. The description is largely complete for an agent to use it correctly.

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%, and neither parameter has an enum or explanation. The description mentions 'index' implicitly but does not explain the required index parameter's format (name or ID), nor does it clarify the optional 'refresh' parameter's behavior (e.g., whether it forces re-introspection or bypasses a cache). With low schema coverage, the description should compensate but does not.

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 uses a specific verb (Report) and resource (index capabilities), and explicitly enumerates what is reported: dense/sparse/full-text fields, expected dimensions, and valid mode values. This distinguishes it from siblings like pinecone_describe_index and pinecone_describe_index_stats, which likely report structural or statistical information rather than search capabilities.

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 gives clear when-to-use guidance: 'Call this before searching an index you did not create in this session.' This tells the agent the exact context for invoking the tool. It does not name a direct alternative or exclusion (e.g., when to prefer pinecone_describe_index instead), but the guidance is precise enough for the intended workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.