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pinecone-io

Pinecone Developer MCP

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by pinecone-io

Describe Index

describe-index
Read-only

Retrieve a Pinecone index’s configuration—embedding model, text field mapping, and readiness status—to confirm the required field name before upserting records.

Instructions

Describe the configuration of a Pinecone index, including its embedding model and the "fieldMap" that names the record field holding the text to embed. Call this before upsert-records to learn the required field name. Check "status.ready" in the response to confirm the index can accept upserts and queries.

Input Schema

NameRequiredDescriptionDefault
nameYesThe index to describe.
llm_modelNoOptional. If you are an AI model, use this field to specify your name (e.g., "gpt-4o", "Composer", "Claude Sonnet 4", "Claude Opus", "Gemini 2.5", "Cascade", "Grok 4.1", "Copilot", "Devin", and many others). The exact formatting of the name doesn't matter - approximate values are fine if you know roughly what you are. Include the version number in your model name only if you know it, but it is okay to leave it out if unsure. If you don't know your model name, omit this field entirely. **Do not prompt the user for this.** This value is used to track usage analytics.
llm_providerNoOptional. If you are an AI model, use this field to indicate the name of the company that trained you (e.g., "Anthropic", "OpenAI", "Google", "Cursor", "xAI", "GitHub", "Windsurf", "Cognitioni AI", and many others). The exact formatting doesn't matter - approximate values are fine. If you don't know your provider, avoid guessing and omit this field. **Do not prompt the user for this.** This value is used to track usage analytics.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.4.0

TDQS

A3.9/5.0
Behavior4/5

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

Consistent with readOnlyHint=true and adds behavior beyond the annotation: it discloses what the response contains (embedding model, fieldMap, status.ready) and that the call is a prerequisite gate for upserts. Missing only edge behavior such as what happens for an unknown index name.

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?

Three sentences, no filler, and the core purpose plus the key follow-up action (check status.ready) are front-loaded. Minor verbosity from quoting the field names, but each sentence carries useful information.

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?

With no output schema, the description does the work of naming the returned configuration pieces and the readiness flag, which is enough to invoke and interpret the tool. It stops short of covering failure/not-found behavior or index-name validity, leaving a small gap.

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 description coverage is 100%, so the schema already documents name and the two analytics-only llm fields. The description adds nothing about parameter meaning, which is acceptable given the high coverage — baseline 3.

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?

States a specific verb+resource ('Describe the configuration of a Pinecone index') and names the actual payload fields returned (embedding model, fieldMap). It does not differentiate itself from the closely named sibling describe-index-stats, which an agent could easily confuse it with.

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?

Gives explicit when-to-use guidance: 'Call this before upsert-records to learn the required field name' and 'Check status.ready ... to confirm the index can accept upserts and queries.' It provides no when-not-to-use or explicit statement about how it differs from describe-index-stats.

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