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decision_evidence

Destructive

Attach quantitative or qualitative evidence to a decision to document its basis with a summary, source, and confidence level.

Instructions

Attach quantitative or qualitative evidence to an existing decision.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesEvidence type.
confoundsNoKnown factors that may confound the result.
confidenceYesConfidence from 0 to 1.
source_refYesURL, experiment name, ticket, or transcript reference.
decision_idYesExisting decision node id.
result_summaryYesConcise summary of the evidence result.
Behavior3/5

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

Annotations already indicate destructiveHint=true, and description is consistent. However, description does not add further behavioral context such as whether evidence replaces or appends, or any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence with no wasted words, front-loads key information. Highly concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 6 parameters and no output schema, the description is minimal. It does not explain return behavior or constraints beyond schema, but the schema is self-documenting. Adequate but not rich.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so description does not need to add parameter details. It adds no extra meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the action ('attach') and resource ('quantitative or qualitative evidence to an existing decision'), distinguishing it from sibling tools like decision_add (create) or decision_get (retrieve).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description implies usage when evidence needs to be recorded for an existing decision, but does not explicitly state when to use vs alternatives or provide exclusions, leaving the agent to infer context from sibling names.

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

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