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AskHook

Live pool state

get_pool_state
Read-only

The live on-chain state (price, liquidity, tick) of a pool listed on askhook.fun.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "pool_id": "<pool_id>"
    },
    "name": "get_pool_state"
  }
}

Input Schema

NameRequiredDescriptionDefault
pool_idYespool_... id from list_launches

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
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 adds that the data is 'live on-chain' state, implying freshness rather than cached values, but says nothing about failure behavior when a pool ID does not exist, rate limits, or which chain is queried.

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?

One front-loaded sentence with no filler, and the most useful detail (what fields are returned) is stated immediately. Nothing is wasted or buried.

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?

With no output schema, the description carries the burden of describing return values and does so by naming the three state fields. For a single-parameter read tool this is nearly complete; only the units/format of price and tick and the not-found case are left unspecified.

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% and the single parameter is documented with its format and source (pool_... id from list_launches). The description adds no additional parameter meaning, so the baseline 3 applies.

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?

States a specific resource (a pool on askhook.fun) and enumerates the data returned (price, liquidity, tick), so the agent knows exactly what it gets. It is clearly a read of pool state rather than hook or template metadata, though it does not explicitly name which sibling covers those adjacent needs.

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?

The description offers no when-to-use or when-not-to-use guidance and names no alternative tool. The only routing hint comes from the schema ('pool_... id from list_launches'), which tells the agent where the ID originates but not when this tool is the right choice versus hook_pools or get_public_hook.

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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