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

The description adds 'Stateless' and the notion of submitting all variants in one request, which are behavioral traits not captured in the annotations. The annotations already provide readOnly, idempotent, and openWorld hints, so the description contributes extra context about statelessness and output behavior (tipping-point guidance). No contradiction.

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 two concise sentences that front-load the core purpose ('Stateless what-if sensitivity analysis') and then detail the request pattern and outcome. Every word earns its place with no padding.

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?

With no output schema, the description partially compensates by stating it returns 'tipping-point guidance,' which gives an idea of the output's nature. However, it doesn't detail the structure of that guidance (e.g., numeric thresholds, text). For a 5-param tool with clear schema descriptions, this is reasonably complete but could be slightly more explicit about the response format.

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 coverage is 100%, so baseline is 3. The description confirms the roles of base_test and counterfactual_tests by saying 'Submit baseline + counterfactual variants', but it does not add syntax, formatting, or additional parameter semantics beyond the schema. The schema descriptions are already clear.

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 a specific verb ('Submit') and resource ('baseline + counterfactual variants') and explains the outcome ('tipping-point guidance'). It distinguishes this tool from siblings like cryptoguard_validate_trade by focusing on what-if sensitivity analysis rather than general validation.

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 implies usage for sensitivity analysis when you have a baseline and counterfactual variants, but it does not explicitly state when to use it over alternatives or mention exclusions. The tool name and 'counterfactual' provide context, but there's no explicit guidance on choosing this over validate_trade or validate_trade_plus.

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