Skip to main content
Glama

pinecone_configure_index

Update a Pinecone index's deletion protection, tags, or read capacity. Use it to adjust index settings without altering the immutable field schema.

Instructions

Change an index's deletion protection, tags or read capacity.

The field schema is immutable - a new signal (a sparse field, an FTS field) means creating a new index and reindexing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
indexYes
read_capacityNo
deletion_protectionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses that field schema is immutable and that schema changes require a new index plus reindexing, which is real behavioral context. However, it says nothing about permissions, whether the change is a merge or full replace of tags, whether omitted/null parameters mean 'leave unchanged', or whether the operation is reversible.

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?

Two short sentences, front-loaded with the mutable surface, followed by the immutability constraint. Every sentence carries information and there is no boilerplate.

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?

An output schema exists, so return values need not be described. The description is adequate on purpose and mutability boundaries, but for a mutation tool with zero annotation coverage and 0% schema description coverage it leaves key call-time questions unanswered: partial-update semantics for omitted parameters, tag merge vs replace, and any permission requirements.

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 0%, so the description must compensate. It does map three of the four parameters to plain-language names (deletion protection, tags, read capacity) and the fourth (index) is self-evident. But it gives no format or semantics for the opaque read_capacity object, no meaning for null values, and no indication of how tags are applied, leaving real ambiguity.

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 names a specific verb (change/configure) and resource (an index) and enumerates the mutable fields: deletion protection, tags, read capacity. It also distinguishes itself from create_index by stating the field schema is immutable, so an agent can route a schema change elsewhere. It stops short of naming a sibling tool explicitly, but the mutability boundary does most of the differentiation work.

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 a clear when-to-use (adjust deletion protection, tags, read capacity) and a when-not-to-use plus the alternative action (a new signal means creating a new index and reindexing). What is missing is any prerequisite or permission context and whether read_capacity changes take effect immediately.

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