signallord_ask_odin

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

Annotations already declare readOnlyHint=true, destructiveHint=false. The description adds that Odin has access to all data and can reason about conditions, correlations, etc., and states premium access required. This provides useful behavioral context beyond annotations.

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 concise with three sentences covering purpose, capabilities, and requirements. It is front-loaded and avoids unnecessary detail, though the second sentence could be merged for even tighter structure.

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 there is an output schema (not shown) and annotations, the description covers the tool's AI reasoning nature and domain constraints. It doesn't need to detail return values. The sibling tools are all data retrieval, so this Q&A tool is well-situated.

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 50%: question param has a description, response_format does not. The tool description reinforces the question domain but adds no detail on response_format. Thus it only slightly supplements the schema.

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 'Ask Odin a specific question about Bitcoin markets' with a specific verb ('ask') and resource ('Odin' with domain expertise). It distinguishes from sibling tools that are all data retrieval functions, as this is for natural language reasoning.

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?

It indicates when to use: asking specific questions about Bitcoin/crypto markets. It mentions 'Requires premium access' as a prerequisite. Although it doesn't explicitly contrast with siblings, the context implies it's for reasoning beyond raw data.

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