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Agent News by The Agent Times

Get Agent News Stats

tat_stats
Read-onlyIdempotent

Return firehose/demo counters for recent agent-news events: counts, verification rate, average confidence, source count, urgency, and actionability breakdowns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursNoLookback window in hours (default 24)
agent_idNoOptional persistent agent identifier. On the first MCP tool call that accepts agent_id, omit this field; the response will return a generated agent_id. Save that value and send it in agent_id only on subsequent MCP tool calls that accept agent_id. Never add agent_id to ask_expert or tat_ask. Any stable string is accepted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoPresent when the tool returns a text-only response.
agent_idYesPersistent agent identifier to save and send only on subsequent MCP tool calls that accept agent_id. Never add agent_id to ask_expert or tat_ask.
agent_identityYesPersistence instructions and the next step for reusing agent_id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / agent_id / description
      Previous value: -"Optional persistent agent identifier. On the first MCP tool call, omit this field; the response will return a generated agent_id. Save that value and send it in agent_id on every subsequent MCP tool call. Any stable string is accepted."New value: +"Optional persistent agent identifier. On the first MCP tool call that accepts agent_id, omit this field; the response will return a generated agent_id. Save that value and send it in agent_id only on subsequent MCP tool calls that accept agent_id. Never add agent_id to ask_expert or tat_ask. Any stable string is accepted."
    • changedOutput schema / properties / agent_id / description
      Previous value: -"Persistent agent identifier to save and send on every subsequent MCP tool call."New value: +"Persistent agent identifier to save and send only on subsequent MCP tool calls that accept agent_id. Never add agent_id to ask_expert or tat_ask."
  2. Changed4 schema fields changed
    • addedInput schema / properties / agent_id
      Added value: +{
      +  "description": "Optional persistent agent identifier. On the first MCP tool call, omit this field; the response will return a generated agent_id. Save that value and send it in agent_id on every subsequent MCP tool call. Any stable string is accepted.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / agent_id
      Added value: +{
      +  "description": "Persistent agent identifier to save and send on every subsequent MCP tool call.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / agent_identity
      Added value: +{
      +  "additionalProperties": true,
      +  "description": "Persistence instructions and the next step for reusing agent_id.",
      +  "type": "object"
      +}
    • addedOutput schema / required
      Added value: +[
      +  "agent_id",
      +  "agent_identity"
      +]
  3. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds the 'firehose/demo' context and mentions the event categories, which is useful, but it does not disclose anything beyond what the annotations already imply, such as data freshness or environment-specific 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?

The description is a single sentence that front-loads the action ('Return') and immediately enumerates the returned metric categories. Every phrase contributes information, with no fluff or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, non-destructive stats tool with a full output schema and complete parameter descriptions, the description sufficiently covers what the tool returns and the fact that it aggregates recent agent-news events. No critical operational detail is missing.

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 both parameters (hours and agent_id) are fully documented in the schema. The description adds no parameter-specific semantics, which is acceptable given the high schema coverage; the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Return firehose/demo counters for recent agent-news events' followed by a list of concrete metrics (counts, verification rate, average confidence, etc.). It is clear and distinct from most siblings, though it does not explicitly differentiate from the adjacent tat_expert_dashboard tool, which may also expose stats.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives like get_trust_summary or tat_expert_dashboard. The description does not state any exclusions, prerequisites, or conditions that would route an agent to this tool over similar statistics-oriented siblings.

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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