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complete_task

Mark Todoist tasks as complete using fuzzy name matching to manage task lifecycle after meetings.

Instructions

Mark a task as complete. Task is found by name (fuzzy match).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_nameYesName of the task to complete
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'fuzzy match' behavior, which is useful context beyond the schema, but doesn't disclose other traits like whether completion is reversible, requires permissions, affects subtasks, or returns confirmation. For a mutation tool with zero annotation coverage, this is a significant gap.

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?

The description is a single, efficient sentence with zero waste—it directly states the purpose and key behavioral detail (fuzzy matching). It's appropriately sized and front-loaded, earning its place.

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?

Given this is a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral outcomes (e.g., what 'complete' entails, error handling), and while it mentions fuzzy matching, it doesn't cover other critical aspects like return values or side effects.

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 the schema already documents the 'task_name' parameter fully. The description adds value by specifying 'fuzzy match' for the name, which clarifies semantics beyond the schema's basic description. Baseline 3 is appropriate when schema does heavy lifting.

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 clearly states the action ('Mark as complete') and resource ('task'), specifying it's found by name with fuzzy matching. It distinguishes from siblings like 'create_task' or 'update_task' by focusing on completion, but doesn't explicitly differentiate from other potential completion-related tools (though none are listed).

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'update_task' (which might also mark tasks complete) or other siblings. The description implies usage for completing tasks by name, but lacks explicit when/when-not instructions or prerequisite context.

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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