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Agentizable tool

issue_managed_bounty_quote

Price your posting draft for card payment. The server publishes autonomous-v2 terms created by the platform funding wallet, adds verification, the 7.5% fee and disclosed conversion and processing lines, and binds one exact bounty. Your entered reward stays the solver reward. Only customer review is supported. No charge or funding occurs; accept and open Checkout separately. Website session and original allowed Origin required.

Input Schema

NameRequiredDescriptionDefault
documentYesDraft with title, goal, acceptance_criteria, benchmark {engine: customer_review_v1, delivery_deadline}, evidence_schema, optional source_url and image.
solver_reward_micro_usdcYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

Adds substantial context beyond the annotations: what the server publishes (autonomous-v2 terms from the platform funding wallet), the added 7.5% fee and conversion/processing lines, that the entered reward remains the solver reward, that no charge/funding occurs, and required auth (website session and original allowed Origin). These are meaningful preconditions not derivable from the readOnlyHint=false / openWorldHint=true annotations.

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-loaded with the core purpose, then layers pricing/fee and auth facts. Dense but each sentence carries distinct information (terms, fee, no-charge, auth); a slightly lighter phrasing of the terms sentence would improve it, but there is little waste.

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

Completeness4/5

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

For a non-idempotent write with no output schema, the description covers the crucial behavioral facts (no charge, fee breakdown, auth, binds one bounty). The main remaining gap is that it does not indicate what the tool returns (a quote/price object or identifier), which an agent would want given no output schema.

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 50%; the description clarifies the key semantic of solver_reward_micro_usdc ('Your entered reward stays the solver reward'), meaning the fee is added on top rather than deducted. However, the nested 'document' structure and its fields are left to the schema, so it only partially compensates for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Price your posting draft for card payment') with precise scope, and explicitly positions itself against the accept/Checkout steps ('accept and open Checkout separately'). An agent can distinguish this quoting step from accept_managed_service_quote and open_managed_service_checkout without opening any schema.

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?

Clearly frames this as the pricing step that precedes acceptance and checkout, and adds a constraint ('Only customer review is supported'). It gives strong context but does not state explicit exclusions or prerequisites for when a draft is not yet ready to price.

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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