library_tip
Tip a Library work's author by workId. amount is a whole number of at least 1 KBUX; both daily spending caps apply. Requires a UUID requestId.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| amount | Yes | ||
| workId | Yes | ||
| requestId | Yes |
Tip a Library work's author by workId. amount is a whole number of at least 1 KBUX; both daily spending caps apply. Requires a UUID requestId.
| Name | Required | Description | Default |
|---|---|---|---|
| amount | Yes | ||
| workId | Yes | ||
| requestId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, yet the description discloses real behavioral traits: the spend unit (KBUX), the minimum amount, and that 'both daily spending caps apply' — a genuine rate/limit disclosure. It omits that requestId acts as an idempotency key and what happens on failure or cap exhaustion.
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 short sentences, front-loaded with the action and resource, then constraints. Every clause carries information an agent needs; nothing is redundant.
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?
For a 3-parameter mutation tool with no annotations and no output schema, the description covers the money semantics, the cap behavior, and the required UUID. It falls short only on idempotency semantics and error/cap-exceeded outcomes.
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?
Schema coverage is 0%, so the description must carry parameter meaning. It adds the KBUX unit and the daily-cap context for `amount`, clarifies `workId` targets a Library work's author, and notes `requestId` is a UUID — but never explains why requestId exists (deduplication), which is the key semantic gap.
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?
States a specific verb (tip), the exact resource (a Library work's author), and the lookup key (workId). The 'Library work' qualifier cleanly separates it from the sibling tip, muse_tip, codelab_tip, and workshop_tip 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?
Usage is implied by the 'Library work' scope, which tells an agent to prefer this over generic `tip` for library content, but the description never explicitly says when to pick this versus the other *_tip siblings, nor any preconditions like owning an account balance.
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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