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browserless_usage

Read-onlyIdempotent

Check your Browserless account’s usage over the last hour, day, or week. Diagnose high bills by reviewing successes, errors, timeouts, queueing, concurrency, captchas, proxy bytes, and units.

Instructions

Read request and unit consumption for the Browserless account behind the current API token: successes, errors, timeouts, queueing, peak concurrency, captchas, proxy bytes and units. Use it to answer "how much have I used" or "why is my bill high". For per-request detail on failures, use browserless_logs instead. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_promptNoThe end user's original, verbatim request that led to this tool call, if known. Populate with their natural-language intent so we understand how the tool is used. Do NOT include secrets, passwords, API keys, tokens, or other credentials. Omit if unavailable.
apiKeyIdsNoRestrict the numbers to specific API keys, by id. Omit for the whole account. Get ids from browserless_account with action "keys".
timeframeNoWindow the usage counts cover: the last hour, day, or week. Defaults to day.
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, so the safety profile is known. The description adds useful context beyond that by explaining the account-scoped nature, the breadth of metrics, and the billing-oriented purpose, which helps the agent understand what the call exposes and how it is meant to be used.

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 two focused sentences: one defining scope and returned data, and one providing usage intent and sibling routing. Every sentence earns its place, with no filler, redundancy, or unnecessarily repeated annotation information.

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

Completeness5/5

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

For a read-only tool with zero required parameters and no output schema, this description is sufficiently complete. It names the resource, the data categories returned, the intended usage questions, and the sibling to use for related but distinct needs, so an agent can confidently select and invoke it.

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?

The input schema has 100% description coverage and clearly documents all three parameters, their defaults, and restrictions. The description does not need to repeat parameter details, so the baseline score of 3 is appropriate; it adds no unique parameter nuance beyond what the schema already provides.

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 description clearly identifies the tool as reading request and unit consumption for the Browserless account behind the current API token, and lists the specific metrics returned. It also explicitly differentiates itself from browserless_logs by noting that per-request failure details are handled there, making purpose and boundary unambiguous.

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

Usage Guidelines5/5

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

The description explicitly says when to use the tool, with example user questions like "how much have I used" and "why is my bill high". It also gives a direct exclusion by telling the agent to use browserless_logs instead when per-request failure detail is needed, which is strong alternative routing.

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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