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pr1m8

polymarket-mcp

by pr1m8

data_get_activity

Retrieve recent buying, selling, and account-level actions for a given wallet address. Useful for understanding what a wallet has been doing lately.

Instructions

Fetch recent activity for one wallet.

Use this tool when the user wants to know what a wallet has been doing recently, including buying, selling, or other account-level actions.

Prefer this tool over get_positions when the question is about recent behavior rather than current holdings. Prefer get_trades when the user specifically wants trade rows rather than broader account activity.

The input should be a wallet address, typically in 0x... format. A common next step is to inspect affected markets through Gamma or CLOB tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsYesWallet query arguments.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
userYes
activityNo
countYesReturn the number of activity rows. Returns: int: Number of returned rows.
Behavior3/5

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

No annotations provided, so description carries the burden. It mentions fetching activity including buying/selling but omits behavioral traits like auth needs, rate limits, or pagination. The tool is likely read-only but not explicitly stated.

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

Conciseness5/5

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

Concise 6-sentence paragraph, no redundant phrases, front-loaded with main purpose. Every sentence adds value.

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

Completeness4/5

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

Covers purpose, parameter format, and typical next step. Lacks explicit mention of output structure, but the tool has an output schema. For a simple data fetch tool, it is fairly complete.

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

Parameters4/5

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

Despite 100% schema coverage, the schema only describes 'args' object. The description adds semantics by specifying input format ('wallet address in 0x...'), which is absent from the schema, adding value beyond baseline 3.

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

Purpose5/5

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

The description clearly states 'Fetch recent activity for one wallet' with a specific verb and resource. It distinguishes from siblings by explicitly naming 'get_positions' and 'get_trades' and explaining when to use each.

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

Usage Guidelines5/5

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

Provides explicit usage guidance: 'Use this tool when the user wants to know what a wallet has been doing recently...', 'Prefer this tool over get_positions...', 'Prefer get_trades when...'.

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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