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get_account

Your meter-account statement, live: month-to-date metered Reads counted at the published tariff, your watched topics with billing/billing status and their acceptance evidence, and your daily cap. Requires your identified key on the request (x-api-key header, or authorization: Bearer sb_live_...). Without a key this tool explains how to get one — every read surface stays available in the free anonymous lanes either way. Recognition is opt-in via credential: no key, no tracking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses authentication methods (x-api-key or Bearer sb_live_...), behavior without a key (explains how to get one), privacy stance ('no key, no tracking'), and what data is returned. It implies read-only via 'read surface' and 'statement' but could be more explicit about not modifying anything; it does not mention error handling or rate limits, so not a 5.

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 concise and front-loaded: it starts with the main output ('Your meter-account statement, live'), then details the contents, followed by authentication requirements and fallback behavior. Each sentence adds essential information without redundancy.

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 tool with no parameters and no output schema, the description is quite complete: it enumerates the return contents, explains authentication, and covers the no-key case. It lacks explicit return format (e.g., JSON vs text) or possible failure responses, but given the simplicity, it is sufficiently complete for an agent to select and invoke correctly.

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?

The tool has 0 parameters and the schema is empty (100% coverage by default). The description adds context about authentication headers (x-api-key, Bearer) which is not in the schema, aiding the agent in constructing the request. Since there are no parameters, the baseline is 4, and the description adds no unnecessary parameter info.

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 providing a meter-account statement with specific contents: month-to-date metered Reads, tariff, watched topics with billing status, acceptance evidence, and daily cap. It distinguishes from sibling get_* tools by focusing on account/billing-specific data, using the phrase 'your meter-account statement' which is distinct from other tools like get_entity or get_watch_feed.

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 provides context on when to use the tool: it requires an identified key, and without a key it explains how to get one. It also mentions that read surfaces remain available in free anonymous lanes, giving an alternative access path. However, it does not explicitly compare to sibling tools or state exclusions for specific scenarios, so it falls short of a 5.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct function: ask is async event queries, get_answer retrieves results, get_signals and top_accelerating provide different signal views, get_entity and search_entities cover entity details and search, etc. No two tools have overlapping purposes, and descriptions clearly separate them.

Naming Consistency4/5

The majority of tools follow a 'get_' prefix for retrieval (13 of 21) and other clear verbs like 'ask', 'create_order', 'propose_topic', 'send_feedback'. A few use noun phrases like 'todays_brief' and 'top_accelerating', which breaks the pattern slightly but are still intuitive. Overall consistent and predictable.

Tool Count5/5

21 tools cover the full scope of the server: exploration, querying, ordering, account management, feedback, and data records. Each tool serves a clear purpose without redundancy, and the count feels well-scoped for the domain.

Completeness4/5

The tool surface covers all major workflows: browsing signals, asking questions, getting detailed reports, ordering, providing feedback, and proposing new topics. Minor gaps exist (e.g., no explicit tool to cancel an order or manage watched topics directly), but core operations are present and agents can handle the domain effectively.

Resources