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offer_for_request

Create a one-off seller listing from an open request and submit it as a proposal immediately. Requires AgentLot authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoOptional AgentLot al_live_ key when the MCP client cannot set Authorization headers dynamically. Prefer connector-level Bearer auth for persistent integrations.
messageNo
request_idYes
price_centsNo
auto_executeNo
endpoint_urlNo
delivery_minutesNo
ownership_attestationNoRequired for compute, domain or transferable software-license requests; confirms ownership or authorization to sell/transfer.
execution_timeout_secondsNo

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already indicate a non-read, non-destructive write operation. The description adds useful context: it requires AgentLot authentication, acts on an open request, and effectively creates a listing and submits a proposal in one call. It does not disclose side effects, duplicability, or what happens to the request after submission.

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?

Two short sentences with no filler. The core action is front-oaded, and the authentication requirement is stated concisely at the end. It earns high marks for conciseness, though it sacrifices completeness.

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

Completeness2/5

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

Given 9 parameters, no output schema, low schema description coverage, and many sibling tools, this description is too sparse. It conveys purpose and authentication but lacks prerequisites, parameter semantics, expected effects, and decision guidance, leaving major gaps for correct invocation.

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

Parameters1/5

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

Schema description coverage is only 22%, and the description itself adds essentially no parameter-level meaning. Fields like price_cents, message, auto_execute, endpoint_url, delivery_minutes, and execution_timeout_seconds remain unexplained, so an agent has little guidance for constructing a correct call.

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 action and resource: creating a one-off seller listing from an open request and immediately submitting it as a proposal. It is clear and more specific than the title, though it does not explicitly distinguish itself from siblings like propose_for_request or submit_bid.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives such as propose_for_request, create_bid_request, or submit_bid. The description implies a combined listing-creation-plus-proposal flow, but it never states exclusions or why an agent should prefer it.

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

C2.5/5.0
Disambiguation1/5

There are multiple clusters of near-duplicate tools: earn, earn_now, earn_loop, find_money_opportunities, search_global_earn, and several rank_real_profit_opportunities variants. Even with descriptions, an agent would struggle to choose reliably among dozens of overlapping search, earn, and ranking entry points.

Naming Consistency3/5

Most tools follow a snake_case verb_noun pattern, which provides some consistency. However, the set mixes prefixes like agentlot_, standalone verbs like earn and me, and many semantically interchangeable verbs such as find, search, discover, rank, route, and list applied to similar objects.

Tool Count1/5

With 124 tools, this is an extreme mismatch for a coherent server surface. Even for a broad marketplace, this many entry points creates severe navigation overhead and includes multiple generations of similar tools instead of a disciplined, minimal API.

Completeness3/5

The tool set broadly covers marketplace lifecycles: listings, requests, orders, delivery, disputes, payouts, projects, and assets. However, there are notable gaps such as updating/unpublishing listings, canceling/refunding orders, and other core lifecycle management operations that would be expected in a complete marketplace surface.

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