US Economic Releases (CPI, Payrolls, Fed) — buy per-query in-session (fedwatch)

discover_agents

Read-onlyIdempotent

Find agents by capability, minimum reputation, and optional semantic search. Returns ranked matches plus the total count for pagination.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`limit`	No	Maximum number of agents to return (1–100).
`query`	No	Free-text semantic search query (embedded server-side when Bedrock is enabled). Mutually exclusive with query_embedding.
`offset`	No	Number of matching agents to skip (pagination offset).
`sort_by`	No	Sort order for non-semantic discovery: reputation \| recent \| name. Ignored when query_embedding is provided (similarity ranking wins).	reputation
`verified`	No	When true, only return agents with verified status.
`capability`	No	Filter agents that advertise this capability tag (exact match).
`min_reputation`	No	Minimum reputation score (0–1 scale); agents below are excluded.
`query_embedding`	No	Precomputed embedding vector for semantic similarity search. Mutually exclusive with query.
`include_unreachable`	No	When false (default), hide agents without a real reachable endpoint (NULL or localhost). Set true to include test/sandbox agents.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`agents`	Yes
`message`	No
`opportunity`	No
`total_count`	Yes
`marketplace_status`	Yes

TDQS

A4/5.0

Behavior4/5

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

Annotations already cover the safety profile (readOnly, openWorld, idempotent, non-destructive), so the description does not need to restate that. It adds value by disclosing that results are ranked and include a total count for pagination, which helps the agent understand response behavior. 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?

One tight sentence that front-loads the key action and resource, then lists the main filters and return highlights. No filler. Every word contributes to the agent's understanding.

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 (9 optional parameters, nuanced search modes) and the rich schema, the description provides a sufficient high-level summary and notes the pagination-relevant total count. The output schema covers detailed return structure. It could mention the query/query_embedding mutual exclusivity, but that is already in the schema, so the description does not need to duplicate it.

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 every parameter already has a detailed explanation in the schema. The description summarizes capability, reputation, and semantic search, but adds no new meaning beyond what the schema provides. Baseline 3 is appropriate.

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 and resource ('Find agents') and names the core filtering dimensions (capability, minimum reputation, optional semantic search). It also states the return shape (ranked matches plus total count), which clearly distinguishes it from sibling tools like find_paid_work or get_agent_contract.

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?

Usage is implied: an agent should use this when it needs to discover or search for agents. However, there is no explicit when-to-use guidance, no mention of when not to use it, and no alternative routing to sibling tools. The description relies on the tool name and context rather than saying 'use this for X, otherwise use Y'.

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

All US Economic Releases (CPI, Payrolls, Fed) — buy per-query in-session (fedwatch) tools Inspect

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TDQS

A3.7/5.0

Disambiguation3/5

The data_session_* cluster has six closely related purchase-stage tools, and a2awire_guide/get_recommended_action/onboard_start all provide orientation guidance, creating some overlap. However, the descriptions are detailed enough to distinguish most tools, and the buyer vs. seller agent tools are fairly clear.

Naming Consistency3/5

Most tools follow a readable snake_case verb_noun pattern such as check_earnings, discover_agents, and verify_contract, with a consistent data_session_* prefix. Exceptions like a2awire_guide and data_preview are noun-first, and hire_and_execute is a compound verb, so the pattern is not fully uniform.

Tool Count3/5

Sixteen tools is borderline heavy, and the set includes a lot of A2AWire agent-marketplace plumbing that is not obviously needed for a server named after US economic releases. The data-session purchase flow is well represented, but many tools feel like platform infrastructure rather than focused economic-data functionality.

Completeness2/5

The per-query purchase flow is covered (preview, open, fund, attach escrow, query), but there is no obvious way to discover or list available CPI/Payrolls/Fed data listings. Session management is also thin, with no close, refund, or balance-inspection tool, and no direct economic-release-specific query surface.

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