Quote a drawing
quoteWhat drawing one picture costs, in credits, and the quote_version to pass when creating it.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
quoteWhat drawing one picture costs, in credits, and the quote_version to pass when creating it.
| 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, non-destructive and closed-world, so the safety profile needs no restating. The description adds real value by disclosing return semantics (credit cost + a version token consumed by a later create call), but says nothing about quote validity windows or whether repeated calls can change the quoted price.
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?
A single sentence, front-loaded with the economic answer (what it costs) before the second return value. Nothing is padded and nothing needs trimming.
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 output schema, the description must fully define the return value, and it only names two fields without format, currency-of-account detail, or whether other fields appear in the response. For a zero-parameter pricing tool that an agent must chain into create_drawing, that leaves a meaningful gap around quote staleness and reuse.
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?
There are zero input parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; no parameter-level guidance is needed here.
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 states concretely what the call produces: the credit cost of one picture and the quote_version token. It implicitly hooks into create_drawing by saying the version is 'to pass when creating it', which distinguishes it from the actual creation sibling, though it never names that sibling outright.
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?
'the quote_version to pass when creating it' implies the intended sequence (quote first, then create), but the description never says this is a prerequisite, whether quotes expire, or what to do if you skip it. Usage is inferable rather than stated.
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.