x402 Bazaar

token_pools

Read-onlyIdempotent

All DEX pools for a token, deepest first — Lists every DEX pool for a Base token (pair address, DEX, quote symbol, price, liquidity, 24h volume), sorted by liquidity. Tells agents where — and how deep — a token can be traded. Required input: address. Priced $0.02 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`address`	Yes	Token contract address

Output Schema

TableJSON Schema

Name	Required	Description
`data`	No	The result payload. Shape is service-specific; every field is documented in the tool description.
`service`	No	The service id that answered.
`checkedAt`	No	ISO-8601 timestamp of when the underlying reads were taken.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

Changed1 schema field changedAug 31, 2026

changedOutput schema / properties / data / description

Previous value: -"The result payload. Shape is service-specific; every field is documented in the service description above."New value: +"The result payload. Shape is service-specific; every field is documented in the tool description."

Changed1 schema field changedAug 31, 2026
- removedOutput schema / required
```
Removed value: -[
-  "data"
-]
```
AddedAug 30, 2026

TDQS

A4.5/5.0

Behavior5/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral context beyond that: liquidity-sorted output, pricing ($0.02/call), x402 transport on Base, the optional prepaid x-credit-token header, one free call/day, and no wallet/API key requirement. There is no contradiction with the annotations.

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?

The key identification and sorting information is front-loaded in the first clause ('All DEX pools for a token, deepest first'), and the rest of the description packs the output fields, input requirement, pricing, and authentication model into compact, purposeful sentences with no filler or redundancy.

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

Completeness5/5

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

For a one-parameter, read-only lookup with an output schema present, the description is complete: it covers the input, the output fields, the sort order, the network (Base), the cost model, and the authentication setup. Nothing essential is missing for an agent to decide whether to call this tool and how to invoke it correctly.

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?

The schema coverage is 100%: the only parameter, address, is already described as 'Token contract address.' The description merely restates that an address is required and adds no new semantic detail beyond the schema. This matches the baseline for high schema coverage.

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 opens with a precise verb-resource statement: 'Lists every DEX pool for a Base token' and specifies the exact output fields (pair address, DEX, quote symbol, price, liquidity, 24h volume) and sort order (sorted by liquidity). This makes the tool clearly distinct from siblings like token_price or pair_info by focusing on the complete set of pools and the tradability depth for a token.

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

Usage Guidelines4/5

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

The description explicitly tells the agent when this tool is relevant: 'Tells agents where — and how deep — a token can be traded.' It also states the required address input and gives operational context such as no wallet/API key needed. However, it does not name alternative tools or explicit when-not scenarios, so it stops short of full alternative routing.

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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TDQS

A3.6/5.0

Disambiguation2/5

Despite excellent per-tool descriptions, the set contains many near-overlapping tools: rug_score, batch_risk, pre_trade_gate, and deep_dd all assess token risk; wallet_portfolio, wallet_networth, and wallet_tokens all list balances; b20_safety, b20_gate, and b20_dossier overlap heavily; url_extract, web_extract, ai_extract, and url_to_json also blur boundaries. An agent would struggle to consistently pick the right tool without reading every description.

Naming Consistency4/5

Naming is overwhelmingly consistent snake_case verb_noun (token_price, rug_score, address_trust, file_convert, safe_to_send). Minor deviations: noun-only names like holders, basename, deep_dd, business_days, and new_tokens, plus the abbreviation deep_dd, slightly break the pattern.

Tool Count1/5

137 tools is far beyond the 50+ extreme-mismatch threshold. Even as a marketplace bazaar, this is an enormous, unwieldy surface where many tools overlap and each contributes only a sliver of unique value.

Completeness4/5

For the apparent purpose — a pay-per-call bazaar covering on-chain analysis, wallet intelligence, token due diligence, plus generic text/web/finance utilities — the surface is extensive and covers most read-only workflows with few dead ends. Minor gaps exist (no historical price series, no swap execution, no true on-chain write actions), but the set is not severely incomplete for its stated niche.

Resources

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