get_waiver_analysis

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

No annotations exist, so the description carries the full burden. It usefully discloses the 'minimal context usage' design goal and enumerates the returned analysis categories, which is real behavioral context, but it never states the read-only nature, auth/permission needs, or rate-limit behavior for a multi-source aggregation call.

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?

Front-loaded with purpose, then Args and Returns. Mostly efficient, but the Returns section restates fields that the output schema already defines, and the Args block duplicates schema-provided defaults — some redundancy against a low information cost.

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?

Parameters are thoroughly documented and the analysis categories are enumerated; since an output schema exists, explaining return values is not strictly required. The remaining gap is guidance on choosing this aggregate over the narrower sibling tools.

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 0%, yet the description fully compensates: position documents valid enum values and case-insensitivity, days_back gives default and 1-30 range, and limit gives default and max of 50. This adds meaning well beyond the bare schema, which carries no descriptions.

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?

States a specific verb+resource ('waiver wire analysis') and clarifies it is a consolidated aggregate combining waiver data with recent transactions. It does not differentiate from close siblings like get_waiver_wire_players, get_trending_context, or evaluate_waiver_priority_cost, so an agent can't fully tell it apart from those without reading schemas.

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?

Calling itself a 'consolidated tool' that 'efficiently combines' data implies it is a convenience aggregate versus the narrower siblings, but there is no explicit when-to-use or when-not-to-use statement and no named alternative. Usage is inferable but not stated.

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