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configure_credentials

Save Qdrant and embedding credentials to activate persistent memory. Use during onboarding or credential rotation to create collections and verify embeddings.

Instructions

Persist Qdrant and embedding credentials to ~/.bikky/config.json and bring the memory system online. Call this only during onboarding (or when rotating credentials). After it succeeds, the collection is created if missing and embeddings are tested. For day-to-day use, prefer get_setup_status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qdrant_urlNoQdrant REST URL — Qdrant Cloud (https://xxx.cloud.qdrant.io:6333), local Docker (http://localhost:6333), or self-hosted
openai_api_keyNoOpenAI API key (for OpenAI embedding/LLM provider)
qdrant_api_keyNoQdrant API key — required for Qdrant Cloud; optional / leave blank for unauthenticated local or self-hosted instances
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that it persists credentials to a specific file, brings the memory system online, creates a collection if missing, and tests embeddings. However, it does not specify idempotency, error behavior, or what happens on invalid credentials. This is a useful but not exhaustive disclosure.

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?

Three tightly focused sentences: first states the core action, second provides when-to-use, third gives alternative. No wasted words, efficient and front-loaded.

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?

Given no output schema and no annotations, the description covers the main behavior, side effects, and usage context. It lacks details on failure modes or verification of success, but it is reasonably complete for a setup tool. It compensates for the missing annotations by providing key behavioral context.

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 coverage is 100% and each parameter already has a clear description. The description adds no additional meaning beyond what is in the schema, so the baseline of 3 applies.

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 clearly states the verb 'Persist' and the resource 'Qdrant and embedding credentials', and specifies the side effects of bringing memory system online, creating collection, and testing embeddings. It also distinguishes from the sibling tool get_setup_status by noting it is only for onboarding or credential rotation, while day-to-day use should prefer get_setup_status.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to call: 'only during onboarding (or when rotating credentials)'. Provides an alternative for regular use: 'For day-to-day use, prefer get_setup_status'. This gives clear guidance on usage context and alternatives.

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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