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beesknees-mcp

Beesknees Get Patron Onboarding Status

beesknees_get_patron_onboarding_status

Report a patron's credential readiness for this operator.

For set-once services (eXcalibur, TheBrain), shows which patron secrets are configured and which are missing. For dynamic/OAuth2 services (Schwab), reports that no patron credentials are needed. Free. Proof of npub ownership is required because credential presence is sensitive information about the patron's setup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dpop_tokenYesA kind-27235 Nostr event signed by patron_npub for this tool.
patron_npubYesThe patron's Nostr public key (npub1...).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations present the description must carry the full behavioral burden, and it does add real context: the call is 'Free', it requires proof of npub ownership, and it explains why (credential presence is sensitive). It also describes what is reported per service type. It stops short of stating read-only/reversibility or any rate limits, but for a reporting tool this is solid disclosure.

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-loaded with the core purpose, then a compact service-type breakdown, then cost and auth in two short sentences. No filler and each sentence contributes distinct information.

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 two-parameter read tool with an output schema (which covers return values) and no annotations, the description covers purpose, output shape by service type, cost, and the auth requirement. The main gap is explicit routing relative to the operator-side sibling, but otherwise it is complete enough to invoke correctly.

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?

Schema coverage is 100%, so the schema already defines patron_npub and dpop_token; the baseline would be 3. The description adds meaning beyond the schema by explaining that the proof is required and why (credential presence is sensitive), giving the agent the rationale for supplying dpop_token.

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?

The description gives a specific verb and resource ('Report a patron's credential readiness for this operator') and further decomposes the behavior by service type (set-once vs dynamic/OAuth2). It is clearly distinct from the similarly-named get_operator_onboarding_status by scoping to the patron, though it never names that sibling explicitly.

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?

Usage is implied by the stated purpose: call it when you need to know whether a patron's credentials are configured. There is no explicit when-to-use vs alternatives guidance, e.g. it does not route the agent between this, get_patron_credential_fields, or check_proof_status, nor state prerequisites for obtaining the npub proof.

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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