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Comfy recent trades

comfy_trades
Read-onlyIdempotent

Fetch recent trades for a token contract address, newest first, returning side, trader, token amount, 0G volume, execution and spot prices, and tx hash; null indicates unknown index data.

Instructions

Recent trades for one token, newest first: side, trader, token amount, 0G volume, execution price and spot price in 0G, tx hash. A side the index did not state stays null; data:null means the index does not know the token.

Input Schema

NameRequiredDescriptionDefault
limitNoHow many trades, newest first.
tokenYesToken contract address (0x…, 40 hex chars).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare read-only/idempotent/open-world, so the bar is lower; the description still adds real value by disclosing ordering, the exact field set, and two null-handling rules (unknown side → null, unknown token → data:null). It does not mention rate limits or truncation behavior beyond the implied newest-first ordering.

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

Conciseness4/5

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

One front-loaded sentence carries scope, ordering and the return-field list, followed by a short edge-case clause; no filler. The field enumeration is dense but each item earns its place since there is no output schema.

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 appropriately documents what comes back (side, trader, amounts, prices, tx hash) and how nulls behave, which is what an agent needs to interpret results. It stops short of clarifying whether 'data:null' is a top-level or per-record shape, leaving slight ambiguity.

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 description coverage is 100%, including limit's default/min/max and token's address format, so baseline 3 applies. The description adds only the 'newest first' ordering nuance, which the schema's limit description already states.

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?

States a specific resource and scope ('recent trades for one token, newest first') plus enumerates the returned fields, so it is immediately distinguishable from siblings like comfy_token or comfy_search_tokens.

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?

The 'one token' scoping implies this is the per-token trade-history lookup, but there is no explicit when-to-use/when-not or named alternative (e.g., vs comfy_token or comfy_jobs). Usage is inferred rather than stated.

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