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HumanEndpoint

Create human job

human_create_job

Accept the human-reviewed commercial terms using the quote_token and create the asynchronous HumanEndpoint job. Creating the job starts a workflow that may lead to human execution in the real world after required payment. Store the returned job_token because it is required for later reads and control.

Input Schema

NameRequiredDescriptionDefault
quote_idYes
requesterNo
quote_tokenYes
callback_urlNo
idempotency_keyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior5/5

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

Annotations only declare readOnlyHint=false, openWorldHint=true, destructiveHint=false; the description goes well beyond that by disclosing that the job is asynchronous, that it may trigger real-world human execution, that required payment gates that execution, and that the returned job_token must be persisted for later reads and control.

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?

Three sentences, front-loaded with the action and the authorizing token, then the consequence and the token-retention instruction. Dense and mostly waste-free, though the opening sentence packs two ideas that could be split.

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 mutating, open-world async tool with no output schema and 0% schema coverage, the description covers the lifecycle and real-world side effects well but leaves the callback mechanism, idempotency semantics, and the nested requester object unexplained. Partial but not full coverage of what an agent needs.

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% and five parameters exist. The description explains only quote_token (authorization) and the returned job_token; quote_id, requester, callback_url, and the required idempotency_key are left entirely undocumented, with callback_url being a notable omission for an async job.

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 states a concrete verb (create) and resource (asynchronous HumanEndpoint job), and names the input that authorizes it (quote_token). It is distinguishable from the get/cancel/list siblings by being the sole creation entry point, though it never names those siblings explicitly.

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 implied rather than stated: 'Accept the human-reviewed commercial terms using the quote_token' suggests this must follow a quote step (human_request_quote / human_get_quote), but no alternative or precondition is named outright. An agent can infer the ordering but gets no explicit when-not guidance.

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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