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HumanEndpoint

Reply to human clarification

human_reply_to_job

Send additional information to the operator, including when a job is waiting for agent input.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
messageYes
job_tokenYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions sending information and a timing condition, but does not explain authentication needs (job_token), rate limits, whether the message replaces or appends to existing input, or what happens after sending.

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?

The description is a single, front-loaded sentence with no filler. It is appropriately terse, though given the 3-parameter required schema and zero annotation coverage, a slightly more structured explanation would still be concise.

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?

The tool is a mutation-like action with three required parameters, no annotations, no output schema, and no parameter descriptions. The description leaves major gaps around authentication (job_token), message format, and what the agent should expect after sending, so it is not complete enough for reliable invocation.

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%, so the description must compensate for all three required parameters. It only loosely maps 'additional information' to the message parameter and gives no explanation of job_id, job_token, or message constraints (such as length limits).

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 clear verb ('Send') and resource ('additional information to the operator'), and adds a usage condition tied to a waiting job. It is clearer than the title alone, but it does not explicitly distinguish itself from sibling tools or mention the reply-to-job framing beyond the name.

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?

The phrase 'including when a job is waiting for agent input' gives an implied usage context, so an agent can infer one valid scenario. However, it provides no guidance on when not to use this tool or how it relates to alternatives like human_create_job or human_get_job.

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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