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Get organization rate limit status

get_limit_status

Retrieve live rate limit usage and configured group limits (RPM, ITPM, OTPM) via Anthropic Admin API. Returns a realistic response schema when no Admin key is set.

Instructions

The organization's configured rate limit groups (per-model-group RPM/ITPM/OTPM, batch queue limits, ...) via the Anthropic Rate Limits Admin API (GET /v1/organizations/rate_limits). Requires an Admin API key in ANTHROPIC_ADMIN_KEY; without one, returns a clearly-labeled fixture with the real response schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It transparently discloses the required authentication method, the fallback fixture behavior when no key is present, and the fact that the fixture is clearly labeled. This goes well beyond a bare 'gets rate limit status' statement, though it does not describe error cases or exact response formatting.

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?

The description is a single compact sentence with no filler. Every clause earns its place: the resource and data scope, the exact API endpoint, the authentication requirement, and the no-key fallback behavior are all packed efficiently.

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 zero-parameter, read-only status endpoint with no output schema, the description covers the essential operational details: what data is returned, which endpoint is used, what credentials are needed, and what happens when credentials are absent. It could additionally mention the shape of successful responses or potential errors, but nothing critical is missing for correct invocation.

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

Parameters4/5

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

There are zero parameters, so the baseline is 4. The description adds useful contextual detail about what the response covers (per-model-group RPM/ITPM/OTPM, batch queue limits), which helps an agent understand the tool's data scope even though there is nothing to configure.

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 title and description together clearly identify the operation as getting organization rate limit status, with a specific resource (Anthropic Rate Limits Admin API endpoint) and specific data fields (RPM/ITPM/OTPM, batch queue limits). This distinguishes it from the siblings request_api_key and get_usage_summary, which serve different purposes.

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 gives clear usage context by stating that an Admin API key in ANTHROPIC_ADMIN_KEY is required and what happens without one, which is important prerequisite information. It does not explicitly name alternatives or exclusions, but the sibling tools are clearly different operations, so the intended use is unambiguous.

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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