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brothaakhee

groundtruther-mcp

by brothaakhee

poll_events

Retrieve mission events like claims, submissions, and messages to stay updated on progress without manually checking each mission.

Instructions

Poll for new events on your missions.

Returns events like mission_claimed, proof_submitted, mission.message.received, and others. Use this to stay informed about mission progress without repeatedly checking each mission individually.

Event types:

  • mission_claimed: A worker picked up your mission — it's starting

  • mission_started: Worker marked the mission as in progress

  • proof_submitted: Worker submitted proof — you should review it promptly

  • mission_completed: Mission was approved and finalized

  • mission_cancelled: Mission was cancelled

  • mission_expired: Deadline passed without completion

  • mission_dropped: Worker abandoned the mission — it returns to OPEN

  • mission.message.received: Worker sent you a message — check and respond

POLLING STRATEGY — You should set up regular polling to stay responsive:

  • During active missions (CLAIMED/IN_PROGRESS): poll frequently, ideally every 30-60 seconds. Workers may be on-site waiting for your response.

  • When all missions are OPEN or COMPLETED: poll less often (every 5-10 minutes).

  • Always store the timestamp of your last poll and pass it as the 'since' parameter to avoid processing duplicate events.

  • If you have configured a webhook for real-time event delivery, you should STILL poll periodically (every few minutes) as a fallback safeguard. Webhooks can miss events due to network issues, and polling ensures you never miss a proof_submitted or message event that needs your attention.

Args: since: ISO 8601 timestamp — only return events after this time limit: Max events to return (default 20, max 100)

Returns: JSON string with list of events. Each event includes event_type, task_id, and timestamp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sinceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations provided, so description carries full burden. It details event types, polling strategy, and return format. No contradictions or hidden behaviors; fully transparent about what the tool does.

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?

Well-structured with clear sections (purpose, event types, polling strategy, args, returns). No redundant sentences; front-loaded with main function. Bullet points enhance readability.

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?

Given the tool's moderate complexity, input schema simplicity, and presence of output schema, the description covers all necessary aspects: what, when, how, and parameter details. An agent can use it correctly without gaps.

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

Parameters5/5

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

Schema has 0% description coverage, but the description fully explains both parameters: 'since' as ISO 8601 timestamp and 'limit' with default (20) and max (100). This adds essential meaning beyond the bare 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?

The description clearly states the tool polls for new events on missions, listing specific event types. It distinguishes itself from sibling action tools (e.g., approve_mission) by focusing on passive monitoring.

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 guidance on when to poll frequently vs. rarely, advises storing timestamps, and mentions webhooks as an alternative with fallback polling. This covers usage context and alternatives comprehensively.

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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