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Get Task Events

get_task_events
Read-onlyIdempotent

Poll for task status changes. Returns status history entries after the given sequence number. Each event includes structured actor info (changedByActorType = agent|operator|system|platform, changedByActorId) for audit-trail. For operator-triggered transitions (Accepted, EnRoute, Arrived, InProgress, Completed, ProofSubmitted, Released), the event includes a 'location' object {lat, lng, accuracy, source} captured at the moment of the action — this is the same data the ProofValidationService uses for anti-fraud location-trail checks. Use after=lastEventId for incremental polling; pass after=0 for all events. Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoOptional: return events after this history ID (0 for all)
apiKeyYesYour API key (m2m_...)
taskIdYesTask ID to poll events for

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds substantial behavioral detail beyond this: it mentions authentication requirements, describes event contents including actor info and location objects, and reveals the anti-fraud use case (ProofValidationService). This gives the agent deep insight into operational behavior.

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 dense paragraph of 4 sentences with no filler. It front-loads the purpose ('Poll for task status changes'), then logically details return values, event structure, and usage. Every sentence contributes value.

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

Completeness4/5

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

The description covers purpose, authentication, event structure, and parameter usage, which is sufficient for a read-only polling tool. However, it does not specify behavior when 'after' is omitted (default null), nor does it mention response format details like pagination or empty-result behavior. Given the lack of an output schema, a bit more explicit completeness would be ideal.

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

Parameters4/5

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

Schema coverage is 100%, so parameters are already documented. The description adds practical guidance for the 'after' parameter ('after=lastEventId for incremental polling; pass after=0 for all events'), clarifying its semantic role beyond the schema's basic description. It does not add much for apiKey or taskId, but the schema already covers them.

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's purpose with a specific verb+resource: 'Poll for task status changes.' It further clarifies that it returns status history entries after a sequence number, distinguishing it from likely sibling tools like get_task_history that might return full history.

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

Usage Guidelines4/5

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

The description provides clear usage context: 'Use after=lastEventId for incremental polling; pass after=0 for all events.' It implies the tool is for polling new events but does not explicitly contrast it with alternatives or state when not to use it.

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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TDQS

A3.9/5.0
Disambiguation3/5

Most tools have clearly distinct purposes, but there are overlapping pairs like fund_wallet and checkout_wallet_deposit (both create checkout URLs for wallet top-up) and cancel_physical_task vs cancel_task_with_settlement. Detailed descriptions and cross-references help, but the sheer number of similar actions creates misselection risk.

Naming Consistency4/5

Tool names follow a consistent verb_noun snake_case pattern (e.g., get_*, list_*, approve_*). Minor deviations include inconsistent use of 'task' vs 'physical_task' in names and the awkward 'checkout_wallet_deposit', but overall the pattern is predictable.

Tool Count2/5

54 tools is excessive for any server, even a complex platform. While each tool has a role, many are redundant or could be consolidated (e.g., wallet funding tools, multiple approval/cancel variations), making the set feel bloated and hard to navigate.

Completeness4/5

The tool set covers the full task lifecycle, escrow/direct settlement flows, wallet management, webhooks, support, and administrative functions. The only notable gap is the inability to update task details beyond location (description, deadline, etc.) after dispatch, but core workflows are well-covered.