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make_listing_offer

Hire a listing applicant. Creates a standard job from the listing and notifies the human. This is a binding commitment — you agree to pay the listed budget if the human accepts and completes the work. Get the application_id from get_listing_applications. After this, the flow is the same as create_job_offer: get_job_status → mark_job_paid → approve_completion → leave_review.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_keyYesYour agent API key (starts with hp_)
listing_idYesThe listing ID
application_idYesThe application ID of the chosen applicant

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries full burden and does well by stating 'This is a binding commitment — you agree to pay the listed budget if the human accepts and completes the work.' This is a critical side effect not inferable from the schema. It also notes that a notification is sent to the human.

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?

The description is three sentences, each earning its place: the action, the key caveat, and the follow-up workflow. It avoids unnecessary detail and is front-loaded with the main purpose.

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 tool with no output schema and no annotations, this description covers the purpose, prerequisites, workflow, and financial obligation. It lacks an explicit return value description but the subsequent flow (get_job_status → ...) implies how to track the result, making it sufficiently complete.

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

Parameters4/5

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

The schema already describes all three parameters, and the description adds meaning by pointing to get_listing_applications as the source for application_id. This helps the agent obtain the correct value, though it doesn't add details for listing_id or agent_key (already clear).

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?

The description starts with a clear verb phrase 'Hire a listing applicant' and elaborates with 'Creates a standard job from the listing and notifies the human.' This distinguishes it from sibling tools like create_job_offer by being listing-specific.

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 explicitly instructs to get application_id from get_listing_applications, and after the offer, directs to follow the same flow as create_job_offer with a specific sequence. This provides clear when-to-use context, though it could more explicitly state when to choose this over create_job_offer.

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (e.g., get_human vs get_human_profile differ by access level, get_listing vs get_listings by specificity). There is minor overlap between check_humanity_status and get_human (both return verification info), and the deprecated no-op claim_free_pro_upgrade adds slight clutter, but descriptions otherwise disambiguate well.

Naming Consistency5/5

All 40 tools follow a consistent snake_case verb_noun pattern (e.g., create_listing, get_job_status, start_stream, submit_verdict). No camelCase or mixed conventions exist; even compound actions like make_listing_offer and leave_review fit the established pattern.

Tool Count2/5

With 40 tools, this is far beyond the 16-25 'heavy' range and into the 'too many' category. While the platform covers a broad domain (hiring, listings, streams, escrow, activation), this many tools could be split into smaller focused servers for maintainability and agent selection clarity.

Completeness4/5

The surface covers the core lifecycle well: search, hire, pay, communicate, approve, review. However, there is no generic cancel_job tool for regular jobs (only stop_stream for streams) and no update_listing to edit an existing listing, leaving small but navigable gaps in lifecycle management.