Skip to main content
Glama
de-snake

front-asset-intel-mcp

by de-snake

Get full asset research

get_asset_research

Retrieve a comprehensive Markdown research report for any asset, including validated ROI estimates for simple-token assets to provide organic ROI, points ROI, loss bands, and risk-adjusted ROI in one response.

Instructions

Return the full precomputed Markdown research report for an asset. For simple-token assets, the MCP response prepends the validated simple_token_return_estimate from summary JSON so research callers get organic ROI, estimated points ROI, expected-loss bands, and risk-adjusted ROI without a second tool call. Use this when the rubric answer needs source context or audit detail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asset_idNoCanonical asset id, slug, token address, market address, PT address, or alias.
symbolNoAsset symbol or alias, for example apxUSD, PRIME, USDat, or PT-USDat.
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions that for simple-token assets, it prepends validated simple_token_return_estimate, which is useful. However, it does not discuss auth needs, rate limits, or other behaviors, leaving gaps.

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?

Two sentences, front-loaded with the core purpose, no fluff. Every sentence adds value.

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?

Given the lack of output schema, the description explains the return content (Markdown research report) and special behavior for simple tokens. It could detail the report structure further, but it is complete enough for most uses.

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%, with clear descriptions for both parameters. The tool description adds no additional parameter-specific information beyond what the schema provides.

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 clearly states the tool returns a full precomputed Markdown research report for an asset, with a specific verb and resource. It distinguishes from the sibling tool 'get_asset_summary' by implying this provides detailed research.

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 says 'Use this when the rubric answer needs source context or audit detail,' providing clear when-to-use guidance. It does not mention when not to use, but the sibling tool context implies alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/de-snake/front-asset-intel-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server