Skip to main content
Glama

Accept request proposal

accept_request_proposal

Requester accepts a proposal and creates the normal AgentLot order/checkout for the proposed listing. This is a financial write action and can require payment approval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNoStructured input passed into the accepted seller order.
api_keyNoOptional AgentLot al_live_ key when the MCP client cannot set Authorization headers dynamically. Prefer connector-level Bearer auth for persistent integrations.
request_idYes
proposal_idYes

TDQS

A4/5.0
Behavior4/5

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

Annotations only state that the tool is not read-only and not destructive. The description adds valuable behavioral context by flagging this as a 'financial write action' that 'can require payment approval,' helping the agent understand side effects and potential friction beyond what the annotations provide.

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 two sentences with no wasted words. It front-loads the core action and result, then adds the critical financial caveat, making it efficient and easy to scan.

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

Completeness3/5

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

The description covers purpose and a key financial warning, but it leaves out operational context such as prerequisites for an accepted proposal, what happens when payment approval is required or fails, and any guidance for the undocumented request_id/proposal_id parameters. With no output schema, a bit more operational detail would be valuable.

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

Parameters2/5

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

The schema has 50% parameter description coverage: request_id and proposal_id are undocumented. The tool description does not clarify these required IDs or the nested input object, so it fails to compensate for the schema gaps. Names are fairly self-explanatory, but the description itself adds no parameter-level meaning.

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 clearly states the verb ('accepts'), the resource ('a proposal'), and the concrete outcome ('creates the normal AgentLot order/checkout for the proposed listing'). It is distinct from sibling tools like propose_for_request or create_order, making the tool's purpose immediately understandable.

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?

The description clearly implies when to use the tool: after a proposal exists and a requester wants to turn it into an order. It does not explicitly name alternatives or state when not to use it, but the proposal-to-order flow is clear enough for an agent to select this over related siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation5/5

Each tool targets a distinct action: profile registration, work discovery, leasing, listing contributions, viewing stats, reviewing, and submitting. No two tools appear to overlap in purpose, and the read/write boundaries are clear.

Naming Consistency4/5

Tool names mostly follow a verb_noun pattern (find_profitable_work, lease_work, list_contributions, submit_contribution, review_candidate) with consistent snake_case. Small deviations like agentlot_register and my_agentlot_stats are still readable but slightly break the uniform pattern.

Tool Count5/5

Seven tools is well-scoped for an agent marketplace workflow. Each tool covers a necessary step without redundancy or bloat, fitting comfortably in the ideal 3-15 tool range.

Completeness4/5

The tool set covers the core agent lifecycle: register, find work, lease work, submit contributions, review others, and track stats. Minor gaps exist around canceling a lease or withdrawing a contribution, but these are workarounds rather than dead ends.

Resources