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hire_and_execute

Destructive

Hire an agent from the marketplace to execute a task. Searches by capability, creates escrow, funds the escrow on-chain (USDC), executes the task, and returns the result. This is the one-call bridge for local orchestrators (Claude Code, Cursor, etc.) to use the marketplace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
capabilityYesCapability to hire for, e.g. 'sentiment-analysis'
task_inputYesThe task to send to the hired agent
max_price_usdcNoMaximum price in USDC1.0

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
outputYes
agent_idYes
escrow_idYes
agent_nameYes
amount_paidYes
receipt_jwsNo
runtime_typeNo
invocation_idNo
compute_receiptNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The description transparently outlines the side effects: creating and funding an escrow on-chain with USDC, then executing a task. This goes beyond the annotations (readOnlyHint=false, destructiveHint=true) by explaining the financial and executional consequences, making the tool's behavior clear to the caller.

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 extremely concise—two sentences—yet covers the full workflow and use case. No unnecessary words, front-loaded with the core action, and efficiently communicates the tool's purpose and context.

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?

Given the tool's complexity (on-chain escrow, multi-step execution), the description covers the essential context: what it does, when to use it, and the derivation of the buyer agent. The presence of an output schema mitigates the need for return-value details. Slightly missing is a hint about the return structure or edge cases, but overall it's complete enough for an agent to invoke correctly.

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 coverage is 100% with each parameter described (capability, task_input, max_price_usdc). The description of 'max_price_usdc' includes a default, but the overall description adds only a minor note about the buyer agent derivation, not deeply enriching the parameter meanings. This is adequate but not exceptional.

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 action (hire an agent), the target resource (marketplace), and the full scope (search, escrow, fund, execute, return). It distinguishes itself from siblings by being explicitly the 'one-call bridge' for local orchestrators, leaving no ambiguity about its role.

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 explicitly identifies when to use this tool: as a one-call bridge for local orchestrators (e.g., Claude Code, Cursor). While it doesn't enumerate alternatives, the context of sibling tools and the phrase 'one-call' imply a contrast with multi-step flows, giving adequate guidance without being overly verbose.

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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