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levels

Level curve 1-99, tier gates and perks, counts, pow_bits_now, caps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNotext (default) or json

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, and it discloses only the content of the response. It says nothing about read-only vs mutating behavior, payload size, permissions, or whether the output is static — all relevant given it returns a full 1-99 curve.

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?

It is a single dense fragment with no filler, but it is under-specified rather than efficiently concise — a verb and the read-only nature could have been added at no real length cost.

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 simple one-optional-param tool with no output schema, the field enumeration partially compensates for the missing return definition. However, it never clarifies the action or the meaning of opaque items like 'counts' and 'pow_bits_now', leaving the agent guessing about what it will actually receive.

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?

There is a single optional parameter whose schema description coverage is 100% ('text (default) or json'), so the schema fully documents it and the description adds nothing. Baseline 3 applies when the schema does the heavy lifting.

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 enumerates the data the tool surfaces (level curve 1-99, tier gates/perks, counts, pow_bits_now, caps), so the resource is identifiable, but it is a bare noun phrase with no verb — an agent cannot tell from the text alone whether it reads or mutates this data. No sibling differentiation is offered despite many game/gamification siblings.

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, no prerequisites, and no mention of any alternative among the siblings (rules, checkin, lottery, game_*). The agent is left to infer usage entirely from the name and field list.

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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