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Get HumanLeg task

humanleg_get_task

Retrieve the current task, content version, hash and lifecycle status.

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": "humanleg_get_task"
  }
}

Input Schema

NameRequiredDescriptionDefault
taskIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full disclosure burden. It hints at the returned fields but says nothing about whether this is a pure read, whether it errors or returns empty for a missing/expired task, what 'lifecycle status' values exist, or any auth/rate-limit constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler words. It is efficiently structured, though the brevity contributes to the gaps noted in the other dimensions.

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?

For a simple one-parameter read tool with no output schema, the description does state which fields are returned, which is more than nothing. But with no annotations and no output schema, an agent still lacks the error behavior and status-value semantics it would need to use the result confidently.

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

Parameters2/5

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

Schema description coverage is 0% — taskId is documented only by type/format/pattern, with no prose meaning. The description never mentions taskId at all, so it adds nothing to explain that this identifies the task whose current version and status are fetched.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Uses a specific verb ('Retrieve') with a clear resource ('the current task') and enumerates what comes back — content version, hash, lifecycle status. An agent can tell this is a read-by-id call, though the description never contrasts it with siblings like humanleg_get_compliance_review.

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

Usage Guidelines2/5

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

There is no guidance on when to call this versus the other getters, no prerequisites (e.g. a task must exist), and no statement about what happens on an unknown taskId. The agent must infer usage entirely from the name.

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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