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Recall Decision Reason

recall_decision_reason
Read-onlyIdempotent

Recall decision reasons and supporting context for a project. Retrieve relevant decisions by topic or question to review past reasoning.

Instructions

Use when: Read-only compatibility alias for recall intent decision_reason. Prefer recall for new clients. Deprecated compatibility alias. Prefer recall; do not select this alias for new workflows. Do not use when: a narrower tool better matches the intent, the project scope is unresolved, or the user has declined the action. Requires: authenticated API authority and an API-authorized selected Project. Effect: read. Human approval: not required for this read or staging action. Then: follow typed result state; review pending proposals/drafts before any canonical apply. On failure: login_required → login; project_not_selected → list_projects/select_project; permission_denied → stop; stale_version or conflict → read current state; projection_pending → report canonical success separately and wait.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topKNoOptional bounded recall count, 1-50.
subjectNoOptional decision or topic to focus on.
questionNoOptional user-written recall question.
projectIdNoOptional project id. Defaults to the project chosen with select_project. If omitted and no project is selected, the call is rejected with instructions to select one.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
statusYes
warningsYes
authorityYes
projectIdYes
reviewUrlYes
idempotencyYes
nextActionsYes
reviewRequiredYes
canonicalVersionYes
projectionStatusYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds effect 'read', failure details, and post-action steps, which provides good context beyond annotations. 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.

Conciseness4/5

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

Well-structured with labeled sections, front-loaded with key purpose. Slightly verbose but each sentence adds value; no redundancy.

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

Completeness5/5

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

Covers purpose, usage boundaries, effect, required auth, failure modes, and post-action steps. Given zero required params and presence of output schema, the description is fully adequate for correct use.

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% with all parameters described. The description repeats the parameter info without adding new semantics, so baseline 3 is appropriate.

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?

The description clearly states it's a read-only compatibility alias for recall intent decision_reason and explicitly prefers the sibling tool 'recall' for new clients, distinguishing it effectively.

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

Usage Guidelines5/5

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

Provides explicit 'Use when', 'Do not use when' conditions, required authentication, effect, human approval requirements, and failure handling, offering comprehensive guidance for selection and invocation.

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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