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Own Your Mind DeAI assessments

get_returns_breakdown

The 5-dimension Returns score for a project (token utility, value accrual, supply dynamics, revenue sustainability, liquidity & access), each with score/max and evidence, plus grade and total /100.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose the return structure (five named dimensions with score/max and evidence, plus grade and total /100), which is genuine behavioral context, but it says nothing about error/not-found handling, whether scores are cached or computed live, or cost/latency.

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?

A single dense sentence that front-loads the resource and enumerates the payload contents without filler. It is efficient, though the parenthetical dimension list makes it slightly list-heavy rather than task-oriented.

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

Completeness3/5

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

With no output schema, the description correctly compensates by outlining the return payload, which is its strongest contribution. It remains incomplete on the input side (slug meaning/format) and on failure behavior, but for a one-parameter read tool it is close to adequate.

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

Parameters2/5

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

Schema description coverage is 0% and the sole parameter 'slug' is undocumented in the schema. The description only implies it via 'for a project'; it never states that slug is a project identifier, its format, or where to obtain one.

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?

The description names a specific verb (implicitly retrieves) and resource (the 5-dimension Returns score for a project), and enumerates exactly what the score covers. It does not, however, distinguish itself from structurally similar siblings such as get_freedom_breakdown or get_project_assessment, leaving an agent to infer the difference from the names alone.

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?

There is no when-to-use statement, no prerequisite (e.g. needing a valid project slug), and no mention of alternatives like compare_projects or get_project_assessment. Usage is only inferable from the tool name.

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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