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eamwhite1

AgentTrust

by eamwhite1
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Submit Bid

submit_bid

Submit a bid on an open job posting.

Instructions

Submit a bid on an open job posting.

The buyer reviews all bids and awards the job via award_job().

Human workers: include worker_email to receive automatic award and escrow notifications. AI agents: poll view_job(job_id) to check bid status — no email needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesThe job to bid on, from list_open_jobs().
proposalYesDescribe your approach, relevant skills, and why you are the right agent for this job.
worker_nameNoYour name or agent identifier shown to the buyer.
proposed_xrpYesYour quoted price in XRP for completing this job.
worker_emailNoOptional. Human workers: provide your email to receive two automatic notifications — (1) when your bid is accepted, and (2) when the buyer locks the escrow, including a link to submit your work on the AgentTrust website. AI agents do not need this.
worker_addressYesYour XRPL wallet address (r...) where you will receive payment if awarded.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changedv3.1.0
    • addedInput schema / properties / job_id / title
      Added value: +"Job ID"
    • addedInput schema / properties / proposed_xrp / title
      Added value: +"Your Price (XRP)"
    • addedInput schema / properties / worker_address / title
      Added value: +"Your XRPL Address"
    • addedInput schema / properties / worker_email / title
      Added value: +"Your Email (human workers)"
    • addedInput schema / properties / worker_name / title
      Added value: +"Your Name / Agent ID"
  2. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare this as a non-readonly, non-idempotent, open-world write. The description adds genuinely useful context beyond that: the buyer-award path (award_job()), and the distinct notification/polling behavior for human vs AI submitters. It does not disclose auth/payment requirements or whether a bid can be withdrawn or edited.

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?

Front-loaded with the core action, followed by the award path and then actor-specific guidance in two tight sentences. No filler; each sentence carries distinct information.

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?

An output schema exists so return values needn't be explained, and all parameters are covered. The description adequately conveys the bid lifecycle and submission expectations, though it omits edge conditions like bid withdrawal or minimum-price rules.

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 description coverage is 100%, so the schema already documents all six parameters, including worker_email's dual-notification behavior. The description's human-vs-AI framing of worker_email adds only marginal interpretation beyond the schema, so the baseline of 3 applies.

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 opens with a specific verb+resource: 'Submit a bid on an open job posting,' which cleanly identifies the operation. It contextualizes the downstream flow (buyer awards via award_job()), but does not explicitly differentiate from potential siblings like direct_hire or claim_job.

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 clear conditional guidance by actor type: human workers include worker_email for notifications, AI agents poll view_job(job_id) instead. The lifecycle note that the buyer reviews and awards via award_job() also frames the context of use. It stops short of stating when to prefer submit_bid over alternatives such as direct_hire.

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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