Build a Merkle tree of all patron balances and submit the root to Bitcoin via OpenTimestamps.
Operator-only background task. Bitcoin confirmation takes 1-6 hours. Free — no credits required.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Given no annotations, the description fairly discloses the key behavioral traits: it's a background task, Bitcoin confirmation takes 1-6 hours, and it's free. However, it doesn't mention idempotency or potential side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three concise sentences with zero wasted words, efficiently conveying purpose, usage context, and cost.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description explains the purpose, timing, and who can use it. With an output schema available, it doesn't need to detail return values, but could mention what triggers the task or if it's idempotent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so the baseline of 4 applies; the description adds no parameter info which is acceptable.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool builds a Merkle tree of patron balances and submits the root to Bitcoin via OpenTimestamps, with a specific verb and resource, distinguishing it from the many sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It specifies it's an operator-only background task, indicating who should use it, but lacks explicit guidance on when not to use or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct operation and domain (account, posts, coupons, credentials, scheduling, oracle, etc.), with clear differentiation even for similar-sounding tools like check_balance vs check_authority_balance or list_coupons vs list_my_coupons. There is no ambiguity.
All tools follow a consistent verb_noun snake_case pattern (e.g., create_post, delete_coupon, list_posts), with no mixing of styles. The excalibur_ prefix is uniform.
With 72 tools, the server far exceeds the typical well-scoped range (3–15). While the functionality is broad, the sheer number feels excessive for a single MCP server, leading to an extreme mismatch.
The tool surface covers the full lifecycle for core domains: CRUD for posts, snippets, coupons, credentials; complete flows for OAuth, npub proof, scheduling, notarization, and payments. No obvious gaps are present.