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Yinyang Masters

Build Career-Specific Productivity Plan

build_productivity_plan
Read-onlyIdempotent

Construct a rigorous daily productivity matrix tailored to your specific profession (software engineer, designer, product manager, healthcare, legal, accountant, teacher, entrepreneur, etc.) using proven time-management frameworks (Eisenhower Matrix, Pomodoro Technique, Time Blocking, Pareto 80/20, Deep Work). Organizes at least 8 real profession-specific tasks into high-impact operational quadrants.

Input Schema

NameRequiredDescriptionDefault
frameworkNoProductivity framework (e.g. eisenhower_matrix, pomodoro, time_blocking, 80_20_pareto, deep_work, getting_things_done)eisenhower_matrix
professionYesTarget profession (e.g. software_engineer, product_manager, designer, content_creator, entrepreneur, marketing_specialist, nurse_healthcare, lawyer, accountant, teacher, sales_rep, freelance_consultant)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context about the output ('at least 8 real profession-specific tasks into high-impact operational quadrants'), but says nothing about whether the plan is persisted, how long the generated content is, or whether repeated calls vary.

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

Conciseness4/5

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

The definition is two sentences and front-loads the action and artifact before the framework inventory. Some promotional wording ('rigorous', 'proven') and the long parenthetical role list consume space without adding selection value, but nothing is structurally confusing.

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

Completeness4/5

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

For a two-parameter, read-only generator with no output schema, the description covers what the tool returns at a structural level (quadrants, minimum task count) and how frameworks shape the result. It is close to complete; the only missing piece is how it relates to the other planning-oriented sibling tool.

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

Parameters3/5

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

Schema description coverage is 100%, so both parameters are already documented, and the description's profession and framework lists largely restate the schema examples. The one additive detail is the implicit expectation that 'profession' should map to a recognized role so the 8 tasks are domain-specific, but no format guidance is given for free-text values.

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 gives a specific verb and artifact ('Construct a rigorous daily productivity matrix') and names the framework and profession dimensions it works over, so an agent knows exactly what will be produced. It does not name or contrast any sibling such as build_habit_stack, leaving the boundary between a 'productivity plan' and a 'habit stack' to inference.

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?

Usage is only implied by the phrase 'tailored to your specific profession', which suggests calling it when the user wants a profession-specific daily plan. There is no explicit when-to-use statement, no when-not, and no pointer to the nearest alternative (build_habit_stack) for users who want habit tracking rather than a one-shot schedule.

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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