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Recipes Agentic Catastrophic Risk Annex

recipes_agentic_catastrophic_risk_annex

Return the severe-risk annex for high-impact agentic AI runtime decisions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNo
control_idNo
scenario_idNo
buyer_view_idNo
impact_domainNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not disclose read-only status, permission requirements, rate limits, or any mutation/side-effect profile; only the word 'Return' weakly implies a read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is front-loaded and free of fluff. It is efficient, though extremely sparse for a tool with five filter parameters and no annotation coverage.

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

Completeness2/5

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

An output schema exists, so return values need not be explained. However, with five undocumented optional filters, no annotations, and no usage context, the definition is not complete enough to guide correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has five optional parameters with 0% description coverage, and the description mentions none of them. It adds no meaning about status, control_id, scenario_id, buyer_view_id, or impact_domain, so the parameters remain entirely opaque.

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 the severe-risk annex. It does not, however, distinguish this annex from the many sibling risk, incident, scoring, and assurance packs, so an agent cannot easily tell when this is the right artifact without opening schemas.

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?

There is no when-to-use guidance, no exclusions, and no named alternatives. The description only says what is returned, leaving the agent to infer usage context from the tool name alone.

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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