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by io.github.Onplana
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get_task_history

Read-onlyIdempotent

Returns field-level change log for one task. Agents use this to check if a task was recently modified before claiming or updating it. PREFER get_task when you only need current state.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "taskId": "<taskId>"
    },
    "name": "get_task_history"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMax revisions to return (1-50, default 20).
taskIdYesTask id from list_tasks or get_task.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already cover read-only, idempotent, non-destructive, and closed-world behavior. The description adds that it returns a change log (historical data) and its intended use, but does not disclose return format, ordering, pagination, or completeness of the log. With rich annotations, this is adequate but not rich behavioral context.

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?

Three sentences, front-loaded with the core purpose and followed by usage guidance and alternative routing. No wasted words; every sentence earns its place.

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?

For a simple read-only tool with rich annotations and full schema coverage, the description is nearly complete. It states purpose, usage, and alternative, but does not elaborate on the return structure (e.g., what fields the log contains), which is the main output. Still, it is sufficient for correct invocation.

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 coverage is 100%, so both parameters (taskId and limit) are fully documented in the schema. The description adds no additional meaning beyond what the schema provides, so the baseline of 3 applies.

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?

States a specific verb ('Returns'), resource ('field-level change log for one task'), and distinguishes from the sibling get_task by noting when to prefer it. An agent can immediately tell this is the historical change log tool, not the current-state tool.

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?

Explicitly says when to use it ('before claiming or updating it') and names the alternative ('PREFER get_task when you only need current state'). This gives clear routing between the two 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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