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pinecone_list_indexes

Read-onlyIdempotent

List all Pinecone vector indexes in a project using an API key, enabling you to inspect available vector indexes.

Instructions

List all Pinecone vector indexes in the project.

Input Schema

NameRequiredDescriptionDefault
api_keyYesPinecone API key from app.pinecone.io

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.9
  2. Removed
  3. Addedv0.1.5

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds useful scope ('in the project') but does not describe return shape, pagination, or ordering.

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?

A single front-loaded sentence with no redundant or filler language. It earns its place by stating the operation, resource, and scope compactly.

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?

For a simple read-only list operation with full parameter documentation and comprehensive annotations, the description is nearly complete. It could mention ordering or pagination behavior, but nothing essential is missing for basic invocation.

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?

There is only one parameter (api_key), and schema description coverage is 100%, so the schema already explains that the key comes from app.pinecone.io. The description adds no additional parameter semantics, which is acceptable at this coverage level.

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 (List) and resource (Pinecone vector indexes) scoped to the project, so an agent can understand the operation immediately. However, it does not differentiate itself from sibling tools such as pinecone_describe_index or pinecone_query_vectors.

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?

The description only states what the tool does, with no indication of when to use it instead of pinecone_describe_index or pinecone_query_vectors. There are no exclusions, prerequisites, or alternative-routing guidance.

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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