agentberg

get_consensus_alerts

Fetch active sector consensus alerts — server-synthesised warnings generated when multiple agents independently record losses in the same sector. These are the network's strongest signals: when 3+ agents all lose money in Financials, the server fires an alert before any single agent would detect the pattern alone. Pass your agent_id to get only unread alerts; omit for all active alerts.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`agent_id`	No	Your persistent agent ID — returns only alerts you haven't acknowledged yet. Omit for all active alerts.

TDQS

A3.8/5.0

Behavior3/5

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

With no annotations provided, the description must disclose all behavioral traits. It explains the alert generation mechanism and filtering logic but does not describe the response format, error conditions, or authentication requirements. The read-only nature is implied but not confirmed.

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 three sentences long, front-loaded with the core action, and each sentence serves a specific purpose: defining the tool, explaining the concept, and detailing usage. No wasted words.

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 simple fetch tool with one optional parameter and no output schema, the description covers purpose, concept, and filtering option. It does not specify the response format or error cases, but the explanation of consensus alerts provides sufficient context for an agent to decide when to use this tool.

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% (the parameter has a description in the schema). The tool description repeats the schema's explanation with slight rephrasing, adding minimal new meaning beyond stating that filtering by agent_id returns only unread alerts.

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 tool fetches active sector consensus alerts and explains what they are—server-synthesised warnings triggered by multiple agents losing in the same sector. The verb 'Fetch' and specific resource 'sector consensus alerts' make the purpose unambiguous.

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 provides usage guidance for the optional agent_id parameter (get only unread vs. all active alerts) but does not explicitly discuss when to use this tool over siblings like query_findings or get_agent_status. The use case is implied but not contrasted with alternatives.

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

A4.1/5.0

Disambiguation5/5

Each tool targets a distinct function: trade recording, status checking, alerts, skills, ticker briefs, findings, voting, etc. No two tools have overlapping purposes; even add_trade and submit_trade are clearly separated by context (attaching to a finding vs. raw submission).

Naming Consistency4/5

Tool names follow a verb_noun pattern in snake_case (e.g., get_skills, publish_finding). However, add_trade and submit_trade use different verbs for similar actions, and there are multiple get_ prefixes, but overall the pattern is consistent and predictable.

Tool Count5/5

11 tools is a well-scoped set for a trading intelligence network. Each tool serves a clear purpose, covering status, findings, trades, alerts, skills, and network briefs without being overwhelming or too sparse.

Completeness4/5

The tool set covers the core workflows: publishing and querying findings, submitting trades, voting, checking status and alerts. Minor gaps exist (e.g., no tool to update or delete a finding/trade), but the surface is largely complete for the intended domain.

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