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CISA Known Exploited Vulnerabilities (kevwatch)

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 annotations already signal mutation and destructive potential (readOnlyHint=false, destructiveHint=true), and the description adds the key specifics: it creates escrow, moves USDC on-chain, and executes an agent task. This conveys irreversible financial side effects, which is valuable. It does not cover failure, refund, or authorization edge cases, but it materially enriches the annotation-only picture.

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?

Two tight sentences, with the core action pipeline first and the target-audience context second. Every clause carries information, and nothing repeats schema content or annotations.

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 complex on-chain hire flow, the description supplies the essential invocation contract: what it searches, what it creates and funds, which currency, and that it returns a result. An output schema exists to cover return details, and the input schema covers parameters. It omits failure/refund behavior and explicit routing to sibling tools, but these are secondary given the one-call framing.

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 description coverage is 100%, so the baseline of 3 applies. The tool description adds little parameter detail beyond saying it searches by capability and executes the task, while the schema already documents capability, task_input, and max_price_usdc, including the note that the buyer agent comes from the authenticated principal rather than arguments.

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 opens with a specific action ('Hire an agent from the marketplace to execute a task') and then enumerates the full pipeline: search by capability, create escrow, fund on-chain in USDC, execute, and return the result. It distinguishes itself from sibling tools by calling itself the 'one-call bridge,' making it clear this is the combined marketplace hire flow rather than the staged data-session tools.

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 clearly identifies its intended context: local orchestrators like Claude Code and Cursor wanting a single call into the marketplace. It implicitly differentiates from staged siblings such as data_session_fund and data_session_attach_escrow, but it does not explicitly name those alternatives or state when to prefer a staged flow instead.

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

B3.2/5.0
Disambiguation2/5

Several tools occupy hazy boundaries: data_session_fund, data_session_funding_package, and data_session_attach_escrow all concern session payment/funding, and a2awire_guide overlaps with get_recommended_action as a navigation/guidance tool. Agents may easily pick the wrong call without reading descriptions carefully.

Naming Consistency4/5

Most names follow a clear snake_case verb_noun pattern such as data_session_open, find_paid_work, and verify_contract. Minor deviations like a2awire_guide, data_session_funding_package, and register keep it from being perfectly uniform, but the convention is generally predictable.

Tool Count3/5

16 tools is at the heavy edge of a normal surface, and many of the tools are generic A2AWire marketplace helpers rather than KEV-specific functionality. A dedicated KEV server would feel tighter with fewer, but the count is not extreme.

Completeness2/5

The set describes a wider marketplace but omits a referenced start_job tool, creating a dead end after find_paid_work. It also lacks any direct KEV query/metadata/session-status tool beyond the payment/session flow, so agents cannot fully complete the advertised workflows.

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