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Price list

pricing

Every endpoint this server fronts, with its exact per-call USD price (x402, USDC on Base) and a one-line summary, read live from the route table. Free.

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 burden and states it reads live from the route table, indicating a read-only operation. It also discloses the 'Free' aspect. It does not mention auth or rate limits, which are likely irrelevant for a simple introspection tool.

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 entire description is one sentence that packs in the core function, source, and cost. Every word adds value with no 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 simple no-parameter tool, the description conveys what is returned (endpoints, prices, summaries) and the source (live route table). It could specify the output format, but that is easily inferred.

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 zero parameters, so the schema is fully covered by default. The description adds no parameter details because none exist, warranting the baseline score of 4 for no-parameter tools.

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 states the tool lists every endpoint with its exact per-call price and a one-line summary, read live from the route table. This is a specific, unambiguous purpose and distinguishes it from sibling tools like coverage or fx_rate.

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 implies usage for discovering costs before calling other endpoints by emphasizing 'exact per-call USD price' and 'Free.' It provides clear context about what the tool does, though it does not explicitly name alternatives or when not to use it.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct data area or action: coverage vs find_data vs request_data are clearly separate (metadata, search, and suggestion box), and the three holdings tools (holdings_changes, manager_holdings, security_holders) each address a different question (changes, portfolio, owners). No two tools have ambiguous boundaries.

Naming Consistency5/5

All tool names use consistent lowercase snake_case (coverage, find_data, fx_rate, request_data, etc.). While some are verb phrases and others are noun phrases, the naming style is uniform and predictable, making it easy to guess tool purposes.

Tool Count5/5

Twelve tools is a well-scoped size for a financial data API server. Each tool covers a distinct data domain, and there is no excessive redundancy or crowding. The count is within the ideal 3-15 range.

Completeness4/5

The tool set covers a broad range of financial data needs: SEC filings, holdings, insider activity, IPO, macro, and FX. Minor gaps exist (e.g., no direct company fundamentals or full filing text), but the request_data tool provides a path to fill missing datasets, so agents are not at a dead end.

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