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pinecone_list_indexes

List all Pinecone vector indexes in your project using your API key. Retrieve available indexes for vector database management.

Instructions

List all Pinecone vector indexes in the project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesPinecone API key from app.pinecone.io
Behavior2/5

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

No annotations exist, so the description carries the full burden. It only states the operation without disclosing behavioral traits such as read-only nature, required permissions, rate limits, pagination behavior, or project context. The phrase 'in the project' is ambiguous without additional context.

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 a single, well-structured sentence with no wasted words. It is concise and front-loaded with the key action. However, it could be slightly more informative without losing conciseness.

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 the simplicity of the tool (one parameter, no output schema, no nested objects), the description is minimally adequate. It states the action but does not explain what the output looks like (e.g., list of index names, metadata) or any error scenarios. More context would be helpful.

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?

The schema for the single required parameter 'api_key' has 100% description coverage (description: 'Pinecone API key from app.pinecone.io'). The tool description does not add any additional meaning beyond what the schema already provides, so the baseline score of 3 is appropriate.

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 is a single clear sentence: 'List all Pinecone vector indexes in the project.' It specifies the verb 'List', the resource 'Pinecone vector indexes', and the scope 'in the project'. This clearly distinguishes it from sibling tools like pinecone_delete_vectors or pinecone_describe_index which have different purposes.

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 is provided on when to use this tool versus alternatives. The description does not mention any conditions, prerequisites, or situations where this tool is preferred over related tools like pinecone_describe_index or pinecone_query_vectors.

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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