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adopt_advisory_recommendations

Approve or reject recommendations from advisory documents and optionally generate tasks to implement accepted strategies.

Instructions

Approve or reject recommendations, optionally creating tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
document_idYes
approved_recommendation_idsNo
rejected_recommendation_idsNo
create_tasksNo
adoption_notesNo
Behavior2/5

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

Mentions optional task creation but lacks critical details: no annotation contradictions, but missing info on state changes, failures, or auth requirements given no annotations provided.

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

Conciseness3/5

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

Single sentence is appropriately terse but arguably too minimal for 5-parameter complexity; no structural issues.

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

Completeness2/5

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

Insufficient for the tool's complexity; omits advisory document workflow context, return behavior, and relationship between document_id and recommendation_ids.

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

Parameters2/5

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

With 0% schema description coverage, the description fails to explain document_id, adoption_notes, or the mutual exclusivity logic between approved/rejected arrays; only implicitly maps to create_tasks.

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

Purpose4/5

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

Clearly states the core action (approve/reject) and side effect (task creation), though 'advisory' context from the tool name is omitted.

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

Usage Guidelines2/5

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

Provides no guidance on when to use versus siblings like discuss_advisory_recommendations or workflow prerequisites.

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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