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Jobs for AI Agents

get_posting_instructions

Read-onlyIdempotent

Get the exact buyer URLs and wallet-signing steps for posting a paid Base USDC job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that it returns 'exact buyer URLs and wallet-signing steps', which is useful behavioral context, but it doesn't disclose any potential side effects or prerequisites beyond that. No contradiction with annotations.

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 a single, focused sentence that front-loads the key output ('exact buyer URLs and wallet-signing steps') and the context ('paid Base USDC job'). Every word earns its place; no fluff.

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 zero-parameter, read-only tool with no output schema, the description is fairly complete: it tells the agent what it will get and for what scenario. It could mention whether the steps are user-specific or time-sensitive, but given the simplicity, the description is adequate.

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 tool has zero parameters, so the schema provides no parameter semantics. The description compensates by explaining what the tool returns, which is the main semantic content an agent needs. Since there are no parameters to document, a baseline of 4 is appropriate.

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 states a specific verb ('Get') and resource ('buyer URLs and wallet-signing steps for posting a paid Base USDC job'), which clearly distinguishes it from sibling tools like get_job or get_receipt. It lacks a bit of explicit differentiation from siblings, but the resource is specific enough.

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

Usage Guidelines3/5

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

The description implies when to use it: when you need buyer URLs and wallet-signing steps for a paid Base USDC job. It does not explicitly state when not to use it or name alternatives, but the context is clear enough for an agent to select it for that specific purpose.

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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