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analyze_graph

Analyze graph data to compute PageRank, detect communities, find shortest paths, and identify bottlenecks using graph analytics algorithms.

Instructions

Graph analytics: PageRank, Louvain communities, shortest path, bottleneck detection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodesYes[{id, type?, label?, ...}]
edgesYes[{source, target, type?, weight?}]
Behavior2/5

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

With no annotations provided, description fails to disclose outputs, computational complexity, or side effects of the graph algorithms.

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?

Single sentence is front-loaded and avoids redundancy, though extreme brevity leaves critical gaps given missing annotations/output schema.

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?

Lacks output schema and annotations, yet description doesn't explain return values (e.g., scores vs communities vs paths) or algorithm selection criteria.

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?

Description adds no parameter context, but schema has 100% coverage with clear node/edge structure descriptions, meeting baseline expectations.

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?

Lists specific algorithms (PageRank, Louvain, etc.) but fails to differentiate 'shortest path' capability from sibling tool 'plan_pathfind'.

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 on when to use specific algorithms or when to prefer this over plan_pathfind; pure capability listing.

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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