invoke_octoai_pipeline

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

With no annotations, the description carries full burden. It discloses the pipeline's multi-agent chain, the return structure (final_answer + confidence), governance policy (Arbiter constitution, ProofLink receipt), and the HTTP method/endpoint. It adds significant context beyond the schema, though it doesn't detail idempotency or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is four sentences, roughly 100 words, with critical information front-loaded. Every sentence serves a purpose: primary action, pipeline routing, use cases, endpoint, scope, and governance. No waste or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately describes the return value (final_answer with confidence). It also covers governance, endpoint, and scope. However, more detail on the response structure or formats would push it to 5. Still, it is sufficiently complete for an AI agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds context like 'free-form prompt' and 'memory continuity' for session_id, but these are already captured in the schema. No additional parameter-specific meaning beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool invokes a multi-agent cognitive pipeline with free-form prompts, specifying it returns a synthesized answer with confidence. It explicitly distinguishes from sibling tools by contrasting 'open-ended reasoning' vs 'deterministic infrastructure lookup', making the purpose unambiguous.

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

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

The description tells when to use the tool ('open-ended platform questions, decision support') and what it's good for ('needs OctoAI's reasoning'), and mentions required scope ('octoai:pipeline:invoke'). It lacks explicit 'when not to use' but the positive guidance is clear enough to differentiate from siblings.

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