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extract_entities

Extract named entities from text to identify people, places, organizations, and other key data points. Ideal for analytics and content processing.

Instructions

extract entities — Other Utilities tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior1/5

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

The description discloses only the $0.001 USDC cost via x402, but gives no indication of behavior, side effects, expected outputs, or failure modes. With no annotations available, the description leaves the agent completely in the dark about what invoking this tool entails.

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, but the brevity is due to under-specification rather than effective conciseness. It repeats the tool name and adds a cost line, offering no structured information about purpose, usage, or inputs. Every sentence is nearly redundant or uninformative.

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?

For a potentially complex entity extraction tool with no output schema, detailed parameters, or annotations, the description is severely incomplete. The agent has no information about return format, accepted input structure, or operational constraints, making correct invocation impossible.

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 coverage is 100% (one generic 'params' object), so the baseline is 3. However, the description adds no detail about what to place inside the params object, and the schema itself is just a placeholder. The description neither enhances nor harms parameter understanding, leaving it at the baseline.

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

Purpose2/5

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

The description only restates the tool name ('extract entities') and places it in the 'Other Utilities' category, without specifying what kinds of entities are extracted or how the tool operates. It does not differentiate itself from sibling tools like extract_contacts, keywords, or classify, making the purpose nearly tautological.

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 usage guidance is provided. The description mentions only the cost and category, failing to indicate when to choose this tool over alternatives such as extract_contacts, summarize, or classify. There is no context about prerequisites, input requirements, or typical use cases.

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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