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HumanEndpoint

Check task policy

human_policy_preflight

Check whether a proposed human task is eligible before requesting a quote or spending funds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
objectiveYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only gate but never states that the call is free/side-effect-free, whether it caches, or what the result looks like (eligible flag, reasons, denial codes). For a tool that gates spending, that is a significant gap.

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?

A single front-loaded sentence with zero filler. The eligibility check and the timing constraint are both delivered before any padding.

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?

With no annotations, no output schema, and an undocumented parameter, the description should at minimum hint at the return value and the objective format. It implies a yes/no eligibility outcome, which is partial coverage, but leaves the agent under-informed about both input and result for a funds-gating call.

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?

There is one parameter, 'objective', with 0% schema description coverage, so the schema explains nothing. The description hints that it concerns a 'proposed human task' but never defines what the objective string should contain, its granularity, or how it is evaluated. The agent must guess the input format.

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 specific verb and resource: checking eligibility of a proposed human task. It distinguishes itself implicitly from human_request_quote by positioning itself as the pre-step. It stops short of naming sibling tools, so it is clear but not fully differentiated.

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

Usage Guidelines4/5

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

It gives a clear when-to-use condition: before requesting a quote or spending funds. That routes the agent to run this ahead of human_request_quote. It does not, however, state what to do if the check fails or name the alternative path explicitly.

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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