list_pricing_plans
List JobsPipe pricing plans with monthly price in USD, monthly job quota and included features.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| plan | No | Optional plan name to return just one plan (e.g. "free", "credits"). |
List JobsPipe pricing plans with monthly price in USD, monthly job quota and included features.
| Name | Required | Description | Default |
|---|---|---|---|
| plan | No | Optional plan name to return just one plan (e.g. "free", "credits"). |
Changes observed during successful MCP inspections.
Input schema / properties / plan / descriptionPrevious value: -"Optional plan name to return just one plan (e.g. \"free\", \"builder\", \"scale\")."New value: +"Optional plan name to return just one plan (e.g. \"free\", \"credits\")."Input schema / requiredAdded value: +[]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds what fields are returned (price, quota, features), but it does not disclose potential behaviors like response ordering, pagination, or the effect of omitting the optional plan filter. Credit is given for the field detail, but it is modest beyond the annotations.
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?
The description is a single, tightly worded sentence with no wasted words. It front-loads the verb and resource, then specifies the key return attributes efficiently.
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 simple list operation with one optional parameter and a safe read-only annotation, the description is complete. It states what is returned, the schema explains the filter, and the annotations cover safety. No output schema exists, but the description already lists the main return fields.
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 description coverage is 100%, so the schema fully documents the optional 'plan' parameter. The tool description adds no additional meaning about the parameter, so the baseline of 3 applies.
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 a specific verb and resource: 'List JobsPipe pricing plans' with the exact data points returned (monthly price, job quota, features). It clearly distinguishes itself from sibling tools like list_job_sources and search_jobs, which deal with different entities.
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 usage context is implied by the tool's purpose—it is the obvious choice for pricing plan inquiries—but there is no explicit guidance about when to use it versus alternatives or any exclusions. No sibling tool is mentioned as a fallback or contrast.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.