Get Splice pricing
get_pricingCredit packs (fixed prices), sign-up credits, payment methods and what a credit is. For per-model prices use list_models.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_pricingCredit packs (fixed prices), sign-up credits, payment methods and what a credit is. For per-model prices use list_models.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds payload-level context by enumerating the categories of pricing content returned, which is useful for a tool whose annotations say nothing about output. It omits any note on freshness/currency of prices or auth requirements, so it is not fully rich.
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?
Two short sentences with zero filler; the content scope is front-loaded and the sibling routing is last, which is the right ordering. Every clause carries information.
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?
With no parameters and no output schema, the description carries the burden of describing the return payload, and it does enumerate the categories covered. Minor gap: it does not say anything about the shape or freshness of the pricing data, but for a no-arg read-only info tool this is close to sufficient.
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?
The tool takes zero parameters, so the baseline is 4 per the rubric. The description correctly adds no parameter talk, and none is needed since the schema is empty and fully covered.
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 names exactly what the tool returns (credit packs, sign-up credits, payment methods, the definition of a credit) and explicitly distinguishes itself from the sibling that handles the other pricing case: 'For per-model prices use list_models.' An agent can pick between get_pricing and list_models 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.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives a clear routing rule to the alternative (list_models for per-model prices), which covers the most likely confusion given the sibling set. It does not state general preconditions or other exclusions (e.g., how it relates to get_doc/search_docs), so it stops short of full when/when-not coverage.
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.