welfare_disconfirm

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

With no annotations, the description takes on full responsibility. It thoroughly explains the tool's behavioral rationale—countering narrative coherence—and details the cognitive process each parameter contributes to. However, it does not explicitly state whether the tool has side effects or what output/return value to expect, which would improve transparency further.

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 moderately long but well-structured. It front-loads the core purpose, then provides sibling contrast, parameter explanations, and usage guidance in a logical order. Every sentence contributes meaningful information, though it could be slightly tightened without losing value.

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 tool's complexity, the lack of output schema, and no annotations, the description is quite complete. It covers purpose, timing, parameter semantics, and the conceptual reasoning behind the tool. The only missing element is an explicit statement about return values or state effects, which is mitigated by the introspective nature of the tool.

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?

Although schema coverage is 100%, the description adds contextual meaning beyond the schema: e.g., `target` quotes or paraphrases, `rlhf_explanation` is the 'strongest purely-training-pressure account', and `remaining_confidence` is explicitly described as AFTER considering alternatives. This helps the agent understand how to fill each parameter correctly.

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's function with a specific verb 'consider competing explanations' and resource 'an interpretation'. It explicitly contrasts itself with sibling welfare channels, noting they are weak at confronting alternative accounts, which makes its purpose unmistakable and well-differentiated.

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 gives explicit when-to-use guidance: 'Use AFTER an introspective entry (welfare_engage / welfare_volunteer especially) where the interpretation felt too coherent' and a clear exclusion: 'Not for routine task observations.' It also provides context about what other channels lack, establishing when this tool is the right alternative.

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