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HumanEndpoint

Create human job

human_create_job

Accept the operator's offered commercial terms using the quote_token and create the asynchronous job. Store the returned job_token because it is required for later reads and control.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
quote_idYes
requesterNo
quote_tokenYes
callback_urlNo
idempotency_keyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does contribute real behavior: the job is asynchronous, a job_token is returned, and that token gates later reads and control. It omits idempotency/replay semantics, callback behavior, and error/permission conditions, so the mutation profile is only partially disclosed.

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?

Two tight sentences, front-loaded with the action and precondition, and the retention guidance for job_token is placed where it matters. Nothing extraneous.

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

Completeness2/5

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

A mutation tool with no annotations, no output schema, a nested object, and 5 undocumented parameters needs considerably more than two sentences. The job_token retention tip is useful, but idempotency, callback_url, and requester semantics are left with zero coverage anywhere.

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% across 5 parameters, so the description must compensate and largely does not. It mentions quote_token and the returned job_token, but leaves quote_id vs quote_token, idempotency_key, callback_url, and the nested requester object entirely unexplained.

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?

The description names a specific verb+resource ('create the asynchronous job') and frames it as accepting offered commercial terms via quote_token, which separates it from human_request_quote and the get/list siblings. It stops short of explicitly contrasting with those siblings, but the action is unambiguous.

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

Usage Guidelines3/5

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

Usage is only implied: the mention of accepting 'offered commercial terms' suggests a prior quote must exist, and 'store the returned job_token ... required for later reads and control' hints at the downstream workflow. No explicit when-to-use or when-not-to-use guidance, and no named alternatives among the nine siblings.

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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