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grid-trader

bsc_pool_scan

Read-only

Grid trading, the free half: what a trade in any BSC token’s pool really costs — depth, price impact at sizes, and the transfer tax measured from executed trades. The paid half lays the grid and its break-even spacing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesA BEP-20 token address on BNB Chain (0x…)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description usefully adds that transfer tax is 'measured from executed trades' (a data-source disclosure) and enumerates the returned metrics, which matters because there is no output schema. It stops short of stating responsiveness, refresh/freshness, or limits on which tokens are scannable.

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

Conciseness3/5

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

Two sentences with no egregious padding, but the lead-in 'Grid trading, the free half' is scene-setting jargon that delays the actual purpose, and the closing clause about the paid half is largely about the sibling rather than this tool. Front-loading is weak; the concrete deliverables appear only mid-sentence.

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

Completeness3/5

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

With no output schema, the description does carry the burden of naming return values, which it does (depth, price impact, transfer tax). However, for a single-address scanner it omits what is scanned (a specific pool? all pools for the token?), how 'sizes' are chosen given no size parameter, and any freshness caveat — leaving meaningful gaps for an agent deciding whether the output will answer its question.

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?

There is a single required parameter and schema coverage is 100%, with the schema itself specifying 'A BEP-20 token address on BNB Chain (0x…)'. The description adds no syntax, format, or constraint detail beyond that, so the baseline 3 is appropriate. Notably, the mention of 'price impact at sizes' implies size configuration that no parameter exposes, which adds mild ambiguity instead of clarity.

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

Purpose3/5

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

The description conveys what the tool returns — pool depth, price impact at sizes, and transfer tax measured from executed trades — but does so through marketing-flavored framing ('Grid trading, the free half') rather than an explicit verb+resource statement. An agent can eventually infer 'analyze a BSC token pool's trading costs' but has to decode the metaphor first, so this lands at minimum-viable rather than clear.

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

Usage Guidelines3/5

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

Usage is only implied through the contrast with the sibling: this is the 'free half' (cost analysis) while grid_plan is the 'paid half' that lays the grid. There is no explicit 'call this before/after grid_plan' or any condition stating when the cost scan is warranted versus skipping it, so the routing must be inferred.

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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