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FDA Recall Alerts — Food & Product Safety (fdarecall)

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?

Annotations already declare destructiveHint=true and readOnlyHint=false, and the description adds meaningful process detail: it creates escrow, funds it on-chain with USDC, executes the task, and returns the result. It also conveys that this is a real on-chain financial action, which is important context. It does not contradict the annotations, though it stops short of discussing irreversibility or failure/refund behavior.

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?

Three sentences with no filler: the first states the core action, the second details the operational steps, and the third identifies the target integrator. The most important information is front-loaded, and every sentence earns its place.

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, money-moving tool, the description covers the essential behavioral flow and audience, while annotations cover the side-effect profile and the output schema covers return values. The only notable gap is explicit discussion of failure cases, escrow refunds, or what happens if the hired agent cannot complete the task.

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 is 3 and the schema already documents all three parameters. The tool description adds some context—'searches by capability' and 'funds the escrow on-chain (USDC)'—but it does not meaningfully compensate beyond the schema. The schema's own top-level note about the buyer agent being derived from the authenticated principal is also important but is part of the schema, not the tool description.

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 verb and resource: 'Hire an agent from the marketplace to execute a task.' It then enumerates the concrete steps (search, escrow, funding, execution, result), making it unambiguous what the tool does. The 'one-call bridge' framing also helps distinguish this integrated operation from the more granular data_session_* and discover_agents siblings.

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 gives clear usage context by positioning this as 'the one-call bridge for local orchestrators (Claude Code, Cursor, etc.) to use the marketplace.' This implies it is the integrated path versus step-by-step alternatives, though it does not explicitly state when not to use it or name which sibling tools should be used instead for finer-grained control.

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

B3.3/5.0
Disambiguation2/5

The tool set blends FDA recall query tools with generic A2AWire marketplace tools, making purpose boundaries unclear. Multiple tools overlap: data_session_fund, data_session_funding_package, and data_session_open all describe payment/session setup, while a2awire_guide and get_recommended_action both serve as navigational helpers.

Naming Consistency2/5

Some tools follow a verb_noun pattern (data_session_open, data_session_query, discover_agents), but others are inconsistent or vague (a2awire_guide, check_earnings, register, verify_contract). The mix of domain-specific and platform tool naming with no coherent convention makes the surface feel disjointed.

Tool Count2/5

16 tools is not inherently excessive, but most are unrelated to FDA recall alerts; they cover agent registration, onboarding, escrow, hiring, and earnings. Only a handful actually concern the stated FDA recall data domain, so the count is poorly scoped for the server's apparent purpose.

Completeness2/5

For an FDA recall alert server, the surface is severely incomplete: there is no direct recall listing, search, filtering, or detail tool, only a generic data_session_query with preview. The remaining tools are platform infrastructure, leaving the actual recall domain shallow and dependent on an opaque paid query flow.

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