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HubVibe: Pay-per-Call Agent Tools: Web Search, Email Verify, KYC Screening, Stocks, Crypto, News

Agent Pro: a deeper task

hubvibe_agent_task_pro
Read-onlyIdempotent

HubVibe Agent (pro): hand it any task in plain words and get the finished result in one call. Research a company or a person of interest, check a website, screen a name, read the markets, compare options, pull the facts: you get a headline, the key points, the full answer, its sources and every tool step. Up to 10 steps. Charged only when the answer is delivered. Input: task; optional context, fields for a JSON answer, language. $9.00 per call. Returns: task, tier, headline, key_points[], answer, data, steps[{n,tool,input,ok,summary,seconds}], tools_used[], sources[], notes[].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesThe task, in plain words.
fieldsNoOptional: also return `data` with exactly these keys.
contextNoOptional material the task refers to (text or JSON).
languageNoOptional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
statusYes
workerYes
price_usdYes
provenanceYes
receipt_idYes
attributionNo
receipt_urlYes
billing_warningNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Goes well beyond the annotations by disclosing cost ($9.00 per call), the billing condition ("Charged only when the answer is delivered"), and the effort ceiling (up to 10 steps) - none of which are in structured fields. Note a mild tension: charging per call sits awkwardly with idempotentHint=true, though this is not a hard contradiction of the read-only/destructive safety profile.

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?

Front-loads the core promise, then examples, then inputs, then price and returns - a sensible order. It is dense and the trailing return-value list partially duplicates the output schema, but every sentence carries usable information with little filler.

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

Completeness5/5

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

Covers inputs, cost, step limit, and delivery guarantee, and an output schema already exists so the return values need not be explained. Nothing an agent needs to call this correctly is missing other than sibling tiering, which is a differentiation gap rather than a completeness one.

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

Parameters3/5

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

Schema coverage is 100%, so the four parameters are already documented in the schema. The description only restates inputs ("task; optional context, fields for a JSON answer, language") and adds light interpretation of `fields`, which does not exceed the schema's own descriptions.

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?

States a specific outcome ("hand it any task in plain words and get the finished result in one call") and a concrete scope boundary ("Up to 10 steps"). It never names or contrasts the sibling tools hubvibe_agent_task and hubvibe_agent_task_max, so the agent must infer the tier from step count alone rather than from an explicit distinction.

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 example task list (research a company/person, check a website, screen a name, read markets) implies the intended domain of use, but there is no explicit when-to-use, no when-not-to-use, and no pointer to the simpler agent_task or deeper agent_task_max siblings. Usage is inferable but routes are left to the agent.

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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