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quantitats

quantitats-mcp

Official
by quantitats

Read a script's settings

get_script_config
Read-onlyIdempotent

Retrieves the configurable settings a script declares—field names, types, defaults, and hints—so you know exactly which options a running bot may override.

Instructions

The settings that script declares — each field's name, type, default and hint — which is what a bot running it may override.

Requires the scripts:read scope.

Rate limit: 600 requests per minute for your key, shared across every tool in the default group. Ten a second. These read stored records rather than calling a venue, which is why they are cheap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe script's name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior5/5

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

Annotations already carry the safety profile (readOnly, idempotent, non-destructive, openWorld), and the description adds genuinely new behavioral facts: the required `scripts:read` scope and a concrete rate limit of 600 req/min shared across the `default` group. It also discloses the read path — stored records rather than a venue call — which explains cost/latency in a way annotations cannot. This is exactly the beyond-annotations context the dimension rewards.

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?

Front-loaded with the return shape, followed by auth and rate-limit constraints in descending order of importance. Slightly padded: the rate limit is stated twice ('600 requests per minute... Ten a second') and the closing rationale 'which is why they are cheap' is a nicety rather than load-bearing information.

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?

For a one-parameter read tool with no output schema, the description covers purpose, return contents, scope requirement and rate limits, which is nearly everything an agent needs. It does not say how a missing/unknown script name is handled or whether declared defaults are versioned, which is a minor residual gap.

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 one parameter with 100% schema description coverage ('The script's name'), so the schema already documents it fully. The description adds no syntax, format, or resolution detail for `name` (e.g. case sensitivity or whether it must correspond to an existing script). Baseline 3 is correct 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description spells out the returned resource concretely: each declared field's name, type, default and hint, plus the fact that a running bot may override these. That is a clear, agent-usable definition of what 'config' means and how it differs from get_script or get_bot_config. It stops short of naming a sibling outright, so it is clear but not sibling-differentiating.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied via the clause 'which is what a bot running it may override', which suggests you call this before inspecting or changing per-bot overrides. There is no explicit when-to-use, no when-not-to-use, and no named alternative such as get_bot_config or get_script. Adequate context, but the agent must infer the routing.

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