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market_intel

Compose free DefiLlama market metrics with bounded public web context. $0.10/call via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoBase
symbolNo
projectNo
token_addressNo

Schema Changelog

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

  1. Added
  2. Removed
  3. Added

TDQS

C2.1/5.0
Behavior2/5

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

With no annotations, the description must carry the behavioral burden. It adds cost ('$0.10/call via x402') and source context ('DefiLlama', 'bounded public web context'), but does not explain side effects, data freshness, output shape, failure modes, or what 'bounded public web context' actually means operationally.

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?

The description is a single concise sentence with no filler, and it leads with the core purpose. However, vague phrasing like 'bounded public web context' reduces clarity, and the brevity sacrifices needed explanation.

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

Completeness1/5

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

For a tool with four optional parameters, no output schema, and no annotations, this description is far too thin. An agent has no idea what inputs to supply, what the result looks like, or how to validate whether the call succeeded.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not mention any of the four parameters (chain, symbol, project, token_address). An agent cannot determine how to populate these fields, which are required, or how they interact.

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 names a specific resource ('DefiLlama market metrics') and an action ('compose'), but 'compose' is ambiguous and does not clearly distinguish this from sibling tools like token_metrics or crypto_price. It communicates the general domain but leaves the exact operation unclear.

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?

No guidance is provided on when to choose this tool over alternatives. The description does not mention use cases, exclusions, or how it relates to similar market-data tools among the siblings, so an agent receives no routing help.

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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