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Fetch paid Collect content

fetch_paid_content
Read-onlyIdempotent

Unlock research/file offerings only. For MCP or API offerings, call use_paid_offering with the same publicId instead. Related: use_paid_offering, pay_offering.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "publicId": "<publicId>"
    },
    "name": "fetch_paid_content"
  }
}

Input Schema

NameRequiredDescriptionDefault
publicIdYesVybe payment request id from pay_offering or list_recent_pays (e.g. vybe_col_…).

Output Schema

NameRequiredDescriptionDefault
okYes
textNo
base64No
statusNo
messageNo
publicIdNo
contentTypeNo
offeringTitleNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is largely given. The description does not add much beyond that: it doesn't say what 'unlock' actually yields, whether the spend is consumed or re-usable, or what happens when the publicId has not been paid. 'Unlock' reads slightly mutating but is consistent with an idempotent read of already-purchased content, so no contradiction is flagged.

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?

Three short sentences with the scope restriction front-loaded, then the alternative, then the related-tool pointer. No filler, though the 'Related:' line partially repeats the sibling already named in sentence two.

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?

An output schema exists, so return values needn't be explained, and annotations cover safety and idempotency. What remains thin is failure behavior (unpaid or already-fetched publicId) and whether the spend is one-time, which matters for an agent deciding whether to retry.

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% and the single parameter publicId is already documented as coming from pay_offering or list_recent_pays. The description's 'with the same publicId instead' reinforces that the identifier is shared across tools, but that is largely redundant with the schema, so the baseline 3 applies.

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 states a specific verb+resource ('Unlock research/file offerings only') and immediately scopes it against a named sibling ('use_paid_offering' for MCP or API offerings). An agent can distinguish this from the other paid-content tools without opening either schema.

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?

Explicit when-to-use (research/file offerings) and when-not-to-use (MCP or API offerings, which route to use_paid_offering with the same publicId). It also lists 'Related: use_paid_offering, pay_offering' so the agent knows the neighboring calls in the payment flow.

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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