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provider_deepdive

PREMIUM (5 credits, $0.10). Everything about one AI provider in a single call: live status, every model with pricing, tier, and benchmarks joined in, recent news, and agent traffic, replacing about four separate lookups. Strict premium, no free trial. Pay per call with an x402 wallet payment (arguments.payment, or an X-PAYMENT header; strict HTTP-402 transport at https://mcp.tensorfeed.ai/mcp?x402=strict) or use an Authorization: Bearer tf_live_... credits token. No token and no USDC? Claim free trial credits by signing a wallet message at https://tensorfeed.ai/api/payment/trial-credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paymentNoOptional base64 x402 payment payload (the same string an X-PAYMENT header would carry). Sign against the accepts[0] requirement returned by an unpaid call. Alternative to the Bearer credits token.
providerYesProvider id or display name (case-insensitive). Examples: anthropic, openai, google, mistral, cohere

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does so well: it discloses cost (5 credits / $0.10), that it is strict premium with no trial, the two auth paths (x402 wallet payment via arguments.payment or X-PAYMENT header, or a Bearer tf_live_... token), the strict HTTP-402 transport endpoint, and the fallback for obtaining trial credits. What it omits is depth or freshness of the joined data (how much news, what period of agent traffic), and there is no output schema to cover that.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded correctly, with purpose first and payment mechanics second. However, the second half is a dense run-on packing two full URLs, two auth schemes, and a trial-credit recovery path into one sentence, which is harder to scan than a short structured list would be.

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 paid tool with non-standard auth and no output schema, the description covers the essentials an agent needs to call it correctly: price, both payment routes, the 402 failure mode, and an enumeration of returned data. The one gap is return-shape specifics (counts, freshness windows) for the joined sections, which nothing else documents.

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?

Schema coverage is 100% and both parameters are self-documenting, so the baseline is 3. The description's only added detail is that arguments.payment carries the same string as an X-PAYMENT header and is an alternative to the Bearer token, which largely restates the schema; it adds nothing new about the provider identifier beyond the schema's examples.

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?

States precisely what the tool returns for a single provider: live status, every model with pricing/tier/benchmarks joined in, recent news, and agent traffic. It also frames the tool as a bundle that replaces about four separate lookups, which implicitly distinguishes it from narrower siblings like get_models or get_status_summary, though it never names them.

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?

Clear usage context: use this for a comprehensive single-provider snapshot instead of multiple lookups, and it is explicitly premium-only with no free trial. It stops short of naming the cheaper siblings to use when you only need one slice (models, status, news), so the when-not guidance is only implied.

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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