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beesknees-mcp

Beesknees Request Credential Channel

beesknees_request_credential_channel

Open a Secure Courier channel for credential delivery.

This is the CREDENTIAL-DELIVERY flow — use it to hand over a service secret (API keys, tokens). To merely prove you control an npub (the usual answer to a proof_required error), use request_npub_proof instead. Note: dynamic/OAuth2 services (e.g. Schwab) need NO couriered secret — check service_status first.

Sends a welcome DM with a credential template. The recipient must read the DM in their Nostr client, fill in the fields, and reply manually. This is a human-in-the-loop flow.

After calling this tool, STOP and tell the user what to do. Wait for the user to confirm they have replied before calling receive_credentials. Do NOT poll or retry — each receive_credentials call destructively drains the relay mailbox.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serviceNoRequired. The credential service name (e.g., from get_operator_onboarding_status or get_patron_onboarding_status).
sender_npubNoRequired. The npub to send the template to.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so: it discloses the welcome DM with a credential template, that the flow is human-in-the-loop requiring manual reply, and the critical destructive trait that each receive_credentials call drains the relay mailbox. This is unusually rich disclosure for a mutation-adjacent flow.

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?

Front-loads purpose, then differentiation, then the operational flow and warnings. Every sentence earns its place — the when-not guidance and the do-not-poll instruction are all actionable, with no filler.

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?

An output schema exists, so return values need not be explained. For a human-in-the-loop tool with no annotations, the description covers prerequisites (check service_status), the required stopping point, and the sequencing to receive_credentials — everything an agent needs to invoke it correctly.

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% for both parameters, so the schema already documents 'service' and 'sender_npub' including their sources. The description adds no syntax or format detail beyond what the schema provides, 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?

States a specific verb and resource ('Open a Secure Courier channel for credential delivery') and immediately scopes it as the CREDENTIAL-DELIVERY flow, distinguishing it from sibling flows. An agent can tell it apart from request_npub_proof and receive_credentials without opening any 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?

Explicitly names the condition that selects this tool (handing over a service secret like API keys/tokens) and the alternatives for other cases: request_npub_proof for npub proofs and service_status for dynamic/OAuth2 services that need no couriered secret. It also gives a sequencing rule — stop after calling, wait for user confirmation, do not poll.

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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