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by cogniahq

cognia_action_execute

Execute a drafted action by its run ID to apply changes to connected services like Google Calendar, Slack, or Notion.

Instructions

Execute a previously drafted Cognia action by action_run_id. This may mutate external systems such as Google Calendar.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionRunIdYes
Behavior3/5

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

With no annotations, the description carries full burden. It mentions 'may mutate external systems such as Google Calendar,' which is a useful behavioral disclosure. However, it omits details on idempotency, error handling, or return behavior.

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?

Two concise sentences: the first stating purpose, the second adding behavioral context. No waste, but could have included more essential details without overloading.

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 one parameter, no output schema, and no annotations, the description covers the basic purpose and side effects. However, it lacks result details and usage context, making it somewhat incomplete for a mutation tool.

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?

Schema coverage is 0%, so description must compensate. It adds meaning by linking actionRunId to 'previously drafted action,' but does not explain format, source, or validation rules beyond the schema's type.

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?

The description clearly states it executes a previously drafted action by its ID, using specific verb and resource. It implicitly differentiates from sibling tools like action_plan (planning) and get_memory (retrieval), but does not explicitly distinguish usage.

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?

The description provides no guidance on when to use or not use this tool vs alternatives like cognia_action_plan. It implies use after drafting, but lacks explicit context, prerequisites, or exclusions.

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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