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ghost_web_search

Search the web and get the results, in ONE payment. Ghost runs the search on its own provider account and returns the actual results — organic hits with title, url and snippet, plus answer box, knowledge panel, related questions — normalised into one shape. Three things most paid search tools do not do: it runs on more than one search provider and fails over between them, so a dead upstream costs you a retry rather than an answer; it never charges you for a search that did not come back, returning the fee as credit instead; and every answer carries a DSSE-signed receipt naming the provider that actually served it, over your question and the results, so what your agent retrieved can be proven later. You hold no provider account and no API key, and there is no second payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat to search the web for.
countryNoCountry code for localisation, e.g. 'us', 'de'.
resultsNoHow many organic results to return.
languageNoInterface language, e.g. 'en', 'es'.
payment_signatureNox402 PAYMENT-SIGNATURE header value. Omit it to receive the payment terms; call again with it to run the tool.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral disclosure burden and fully delivers: it reveals the one-payment model with no second charge, multi-provider failover so a dead upstream costs a retry rather than an answer, refund-as-credit for failed searches, and DSSE-signed receipts naming the serving provider. It also states the buyer holds no provider account or API key. This is exemplary transparency for a paid tool.

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

Conciseness4/5

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

The description is long but information-dense and well-structured: purpose is front-loaded in the first sentence, differentiators are organized as a numbered 'three things' list, and it closes with the account/key simplification. Every sentence earns its place given the unusual payment, failover, and receipt behaviors that must be disclosed; it is only slightly marketing-toned.

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?

Despite having no output schema and no annotations, the description compensates by specifying the return shape (normalised organic results, answer box, knowledge panel, related questions), the receipt, and the failure/refund and failover behaviors. The two-step payment flow (omit signature for terms, resend to run) is already documented in the input schema, so the description need not repeat it. Nothing an agent needs to call this correctly is missing.

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 description coverage is 100%, so the baseline is 3 and every parameter is already documented in the schema. The description adds useful context around payment_signature's role in the payment flow and explains why provider-selection parameters were removed, but it does not add per-parameter semantics beyond what the schema 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 opening clause 'Search the web and get the results' states a specific verb and resource, and the description enumerates the exact return shape (organic hits with title/url/snippet, answer box, knowledge panel, related questions). The web-search scope is clearly distinct from the commerce-oriented sibling tools, so an agent can tell what this tool is for without opening the schema.

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

Usage Guidelines3/5

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

The description implies when this tool fits — an agent wanting web results without holding its own provider account or API key, under a single-payment model — and contrasts the tool with 'most paid search tools.' However, it never explicitly states when to choose this over a sibling (e.g., ghost_commerce_search) or when not to use it; routing is left to inference from names and context.

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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