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eyalbarash
by eyalbarash

cigchat_flow_agent_activity_log_data

Retrieve flow agent activity logs with filters for action, agent, conversation, and time range to analyze agent performance and resolve issues.

Instructions

Get the flow agent activity log data [GET /flow/agent-activity-log/data] Requires the "Manage Flow" scope on the token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of items in the response, between 1 and 1000
actionNoavailable action: open, close, assign, reply, note, pending, spam, invalid, add_collaborator, remove_collaborator, subscribe_to_bot, unsubscribe_from_bot, opt_in_sms, opt_out_sms, opt_in_email, opt_out_email
conv_idNoConversation id
user_nsNoSubscriber user_ns
agent_idNoagent id Accepts either the agent namespace id or the agent's exact name — the server resolves names automatically.
end_timeNounix timestamp between 6 months ago and now, e.g. 1786123679.
start_timeNounix timestamp between 6 month agos and now, e.g. 1786123679.
source_typeNoavailable source type: agent, bot, bot_user, api, webhook
Behavior2/5

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

With no annotations, the description must convey behavioral traits. It only discloses the required scope and the HTTP endpoint, but does not state that it is a read-only operation, whether results are paginated, or what the response contains. This leaves important behavioral details undocumented.

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?

The description is a single sentence of about 20 words, efficiently combining the resource, endpoint, and auth requirement. Every word serves a purpose, with no filler or redundancy.

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?

The tool has 8 optional parameters and no output schema. The description covers the resource and a key scope requirement but omits the response format, default behaviors, or how to combine parameters. This is a minimal viable description that leaves the agent without expectations for the call's return value.

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 description coverage is 100%, so the baseline is 3. The description does not add any additional meaning to the parameters beyond what the schema already provides. It only restates the tool's purpose, which is already clear from the name.

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 the tool retrieves 'flow agent activity log data', with a specific verb ('Get') and a specific resource. This distinguishes it from sibling data-retrieval tools like cigchat_flow_conversations_data and cigchat_flow_custom_events_data.

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?

The description does not explicitly say when to use this tool versus alternatives, but the resource name makes the use case apparent. It mentions the required 'Manage Flow' scope as a prerequisite, which is useful context, but lacks explicit guidance on when to choose this over similar data-log tools.

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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