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tascan_complete_subtask

Complete a subtask, optionally recording a typed response_value (e.g. the weight or reps for that set). Each completion is timestamped, so consecutive set completions yield per-set durations. Returns progress including all_subtasks_complete — when true, complete the parent task with tascan_complete_task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoOptional notes
worker_idNoWorker performing the completion (optional)
subtask_idYesSubtask ID to complete
response_valueNoTyped response value (for number/text/choice subtasks), e.g. "165"

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already indicate a non-read-only, non-idempotent operation. The description adds valuable behavioral detail beyond this: each completion is timestamped, per-set durations are derivable from consecutive completions, and the returned progress includes the all_subtasks_complete flag. This helps the agent understand the timing semantics and downstream implications.

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 three focused sentences with no wasted words. The core action is first, then the optional parameter behavior, then progress/return behavior and the related parent-completion step. Important operational details are front-loaded.

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 adequately covers the operation's purpose, optional behavior, return key, and next action. While an output schema is absent, the description provides the most relevant return information (all_subtasks_complete and timestamping). Some details like error behavior or what happens when all_subtasks_complete is false are not spelled out, but are reasonably inferable.

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 the schema already documents all parameters. However, the description enriches response_value by explaining its purpose with a concrete example ('weight or reps') and indicating it applies to number/text/choice subtasks. This goes beyond what the schema alone communicates.

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 specific action ('complete a subtask') and the optional response_value for typed data. It also distinguishes the tool from tascan_complete_task by explicitly mentioning that completing the parent task is a separate step once all subtasks are complete.

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?

The description provides clear usage context: use this tool to complete a subtask and optionally record a typed response value. It also gives explicit guidance on the next step after completion (calling tascan_complete_task when all_subtasks_complete is true), which is a direct alternative-routing instruction.

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

A3.5/5.0
Disambiguation4/5

Most tools map to a distinct resource+action pair, and the descriptions clearly separate entities like tasks, subtasks, workers, invoices, zones, assets, and reports. A few close pairs (get_report vs generate_report, dispatch_instruction vs dispatch_to_agent, analyze_issue vs auto_resolve) require careful reading, but the descriptions are detailed enough to disambiguate them.

Naming Consistency4/5

The vast majority follow a tascan_verb_noun pattern with consistent create/get/list/update/delete verbs. Minor deviations like condition_history, server_info, zone_compliance, and one-word find slightly break the otherwise predictable pattern.

Tool Count1/5

At 69 tools, this is far beyond what an agent can efficiently consider, and it bundles several distinct domains into one MCP surface. Even if each tool is individually useful, the combined set is an extreme mismatch for a coherent tool interface.

Completeness4/5

The surface covers nearly the full lifecycle for projects, events, tasks, subtasks, workers, reports, invoices, zones, assets, issues, and communications. Minor gaps exist (no explicit asset updates/decommissioning, no cancel_invite, no delete_zone), but the main workflows have no dead ends.