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TokenOS Tokenomics Designer

Design tokenomics

design_tokenomics
Read-onlyIdempotent

Build a full allocation + vesting model with a 48-month circulating-supply schedule, FDV / initial market cap and sanity warnings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoToken name or ticker
presetNoStarting template (default defi)
allocationsNoCustom allocation buckets (must total 100%)
total_supplyNoTotal supply (default 1,000,000,000)
launch_price_usdNoOptional launch price to compute FDV and initial market cap

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safe-computation profile is covered. The description adds some behavioral context by disclosing the 48-month schedule horizon and that sanity warnings are emitted, but it says nothing about validation strictness beyond the schema's 'must total 100%' or what a warning condition actually is.

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 front-loaded sentence that names the build action first and then the outputs. No filler or redundancy; it stays appropriately compact for a definition whose parameters are fully schema-documented.

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?

For a read-only computation tool with 100% schema coverage and no output schema, the description covers purpose and output content adequately. It falls short on the relationship to its sibling vesting_schedule and on explicit usage conditions, leaving the agent to infer when this tool is the right choice.

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%, so the schema already documents all five parameters, including the preset enum and the bucket-level vesting fields. The description adds no format, default, or interaction detail beyond what the schema provides, so the baseline 3 applies.

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?

States a specific verb and resource: 'Build a full allocation + vesting model,' and enriches it with the concrete outputs (48-month circulating-supply schedule, FDV/initial market cap, sanity warnings). Clear purpose, but it never distinguishes itself from the sibling vesting_schedule, which an agent could easily confuse with this tool.

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?

The description gives no when-to-use guidance, no when-not-to-use, and never names the alternative vesting_schedule or the condition that would select one over the other. Usage is only implied by the purpose statement.

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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