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 output behavior (non-zero layers, points, score, conviction) but does not explicitly mention read-only status, side effects, or error conditions. The read-only nature is implied by the name 'get', but not stated.

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 a single, front-loaded sentence that is concise and informative. Every element contributes to understanding the tool's function, with no redundancy or filler.

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 the simple one-parameter schema and lack of output schema, the description adequately explains the return values (layers, points, score, conviction). It is complete enough for an agent to understand what the tool produces, though it could be more explicit about output format or structure.

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% with 'ticker symbol', and the description adds no additional meaning beyond referencing 'one ticker'. The baseline of 3 applies since the schema already documents the parameter.

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 provides a full convergence breakdown for one ticker, enumerating signal layers, points, score, and conviction. It distinguishes itself from sibling tools like get_convergence_picks by explicitly focusing on a single ticker.

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 usage is implied by 'for one ticker' but there is no explicit guidance on when to use this versus alternatives like get_convergence_picks, nor any exclusions or prerequisites. It lacks clear contextual directions.

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