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Get next project action

get_next_project_action
Read-only

Return the next most useful action for a project based on its sprint roadmap and current state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNo
project_contextNo
project_descriptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
clientNo
sprintsNo
warningsNo
agentNameNo
mcpConfigNo
nextActionNo
resourceMapNo
envChecklistNo
projectBriefNo
highlyRelevantNowNo
projectUnderstandingNo
recommendedResourcesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the read-only nature is covered. The description adds that the action choice is based on the sprint roadmap and current state, but it does not disclose assumptions, failure modes, or behavior when required context is absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler or redundancy. It efficiently communicates what the tool returns and what information the result is based on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has three parameters with no schema descriptions, and the description leaves the roles of state, project_context, and project_description mostly implicit. Even with an output schema present, the input-side semantics are too underspecified for an agent to know exactly what to provide.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the state and project_context schemas are empty objects, so the description needed to explain the parameters. It loosely connects 'current state' to state and 'sprint roadmap' to project_context, but it never explains project_description or the expected structure/keys inside the nested objects.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('return') and object ('next most useful action for a project'), and names the inputs that drive the result ('sprint roadmap and current state'). It conveys the core purpose clearly, though it does not explicitly differentiate from sibling tools like plan_project_sprints or analyze_project.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

When to use it is implied: call it when you have a project with a sprint roadmap and current state and need the next most useful action. However, there are no explicit prerequisites, exclusions, or comparisons to alternatives such as analyze_project or plan_project_sprints.

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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