Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/pinecone-io/pinecone-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/pinecone-io/pinecone-mcp/best-practices)<a href="https://agentmods.dev/rules/pinecone-io/pinecone-mcp/best-practices"><img src="https://agentmods.dev/badge/rules/pinecone-io/pinecone-mcp/best-practices/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/pinecone-io/pinecone-mcp/best-practices"><img src="https://agentmods.dev/badge/rules/pinecone-io/pinecone-mcp/best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00588 | $0.00588 |
| Opus 5.5 | $0.00235 | $0.00235 |
| Sonnet 5.5 | $0.00118 | $0.00118 |
| Haiku 4.5 | $0.00059 | $0.00059 |
Grade A, and why
best-practices scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation
- When changing code, review nearby JSDoc comments to ensure they are up to date
- Include
@throwstags in JSDoc for all errors that methods can throw - Provide usage examples in JSDoc using code blocks with
```typescriptfor public APIs - Document parameter constraints and validation rules in JSDoc
- Mark internal APIs with
/** @internal */to exclude them from public documentation
Error Handling
- Use appropriate custom error classes from
src/errors(e.g.,PineconeArgumentError,PineconeBadRequestError,PineconeConnectionError) - All custom errors extend
BasePineconeError - Include descriptive error messages that help users understand what went wrong
- When wrapping errors, preserve the original cause using the constructor that accepts
Erroras the second parameter:new ErrorClass(message, cause) - Map HTTP status codes to appropriate error types using
mapHttpStatusErrorpatterns
Validation
- Validate input parameters early in public methods, throwing
PineconeArgumentErrorfor invalid inputs - Provide clear, actionable error messages that reference documentation when appropriate
- Use helper validation functions for complex validation logic that may be reused
- Validate
null,undefined, and empty strings/arrays explicitly before use - Leverage TypeScript's type system to catch many validation issues at compile time
Code Generation
- Never manually edit files in
src/pinecone-generated-ts-fetch/**- these are auto-generated - If changes are needed to generated code, update the source OpenAPI/Proto files in
codegen/and regenerate usingnpm run generate:openapi
Testing
- Ensure all major requirements are captured as test cases
- Write unit tests for validation logic and error handling paths
- Include integration tests for end-to-end workflows (sparingly)
- Test both success and failure scenarios, including edge cases
- Use descriptive test names that clearly indicate what is being tested
- Test both Node.js and Edge runtime environments when applicable
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 51 lines · 588 tokens per session scan A 6409c5020230
best-practices is a cursor rule published in the GitHub repository pinecone-io/pinecone-mcp (72 stars, last pushed today), licensed Apache-2.0. It adds 588 tokens to every session, about $0.0024 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.
config-validation-and-normalization
Config validation and normalization responsibilities (defineConfig normalizes, the orm section schema validates and resolves paths, the loader reports per-section diagnostics).
control-plane-descriptors
Control plane descriptor and instance implementation patterns.