filter_data

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

The description discloses a cost of $0.001 USDC via x402, which is a useful behavioral detail. However, with no annotations and no explanation of side effects, return formats, or data handling, the behavioral transparency is very minimal.

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

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

The description is extremely short but under-specified rather than concise. The first half is redundant with the tool name, and the only informative part is the cost mention. It is not front-loaded with useful content.

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

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

With no annotations, no output schema, and a generic parameter object, the description provides almost no context about functionality, inputs, or outputs. For a tool named 'filter_data', this is a critical gap that makes the tool nearly unusable.

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

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

The input schema has a single generic 'params' object with the description 'Tool parameters as JSON object', which provides no meaningful guidance. The tool description adds no parameter details, so the agent remains unaware of what keys or structure to supply.

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

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

The description simply repeats the tool name ('filter data') and adds a broad category label ('Other Utilities tool'). This is a tautology that provides no specific information about what filtering operation is performed or on what data.

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

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 any other utility. The description does not mention context, prerequisites, or alternative tools, leaving the agent without any basis for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.