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chimera_causal

Build and analyze causal graphs by adding edges with cause-effect relationships, querying paths, and retrieving information about the graph structure.

Instructions

Causal graph. Actions: add_edge, query, paths, info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoinfo
causeNo
effectNo
edge_typeNocauses
strengthNo
confidenceNo
confidence_levelNoobserved
sourceNo
targetNo
Behavior1/5

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

No annotations are present, and the description does not disclose any behavioral traits (e.g., side effects of add_edge, read-only for query). The agent has no information about permissions, persistence, or safety.

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

Conciseness2/5

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

The description is very short (two sentences), but it sacrifices essential information. Conciseness under 3 is detrimental because the tool has 9 parameters and multiple actions.

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

Completeness1/5

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

Given the complexity (9 parameters, no output schema, no annotations), the description is critically incomplete. It does not explain return values, parameter relationships, or any constraints.

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?

Schema description coverage is 0%, and the tool description adds no meaning for parameters like cause, effect, strength, or source. The agent cannot infer how to use the parameters without additional documentation.

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 'Causal graph' and lists actions (add_edge, query, paths, info), indicating the tool operates on a causal graph. It distinguishes from sibling tools by domain (causal vs. audit, batch, etc.), but lacks detail on what each action does.

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

Usage Guidelines1/5

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

No guidance is provided on when to use this tool versus alternatives. The long sibling list suggests many tools, but no comparative context is given.

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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