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Update a task

update_task
Destructive

Propose editing a task's title, notes, due_date, energy or estimated_minutes. Proposes only.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "task_id": "<task_id>"
    },
    "name": "update_task"
  }
}

Input Schema

NameRequiredDescriptionDefault
notesNo
titleNo
task_idYes
due_dateNoDue date, ISO YYYY-MM-DD.
energy_requiredNo
estimated_minutesNo
additional_informationNoAny extra structured details that don't fit the fields above (kept on the record verbatim).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

The description adds one genuinely useful behavioral fact beyond the annotations: the call stages a proposal instead of applying the edit immediately. It does not explain what happens on confirmation, whether partial updates preserve untouched fields, or whether a proposal can be superseded, and the annotations (readOnlyHint=false, destructiveHint=true) already carry the mutation-safety profile. Because 'Proposes only' is the sole behavior disclosed, a 3 is fitting.

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?

Two short sentences with the field list front-loaded and nothing extraneous. The fragment 'Proposes only.' repeats the verb already used in sentence one, costing a little density, but the definition is easy to scan.

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?

For a 7-parameter mutation/proposal tool with a nested object, 29% schema coverage, and no output schema, the description is too thin: it never explains the proposal lifecycle, what the caller gets back (a proposal id?), or how additional_information is preserved. The propose-only disclosure is valuable but insufficient to call this complete.

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 coverage is only 29% across 7 parameters, so the description carries real weight, and it does name 5 of the 7 editable fields. But it adds no meaning beyond enumeration (no format, partial-update, or null/clear semantics), uses 'energy' where the schema property is 'energy_required', and omits task_id and additional_information entirely.

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?

Uses a specific verb ('Propose editing') plus the resource ('a task') and enumerates the editable fields, so an agent can tell it apart from create_task, find_task, or complete-style siblings. It does not explicitly name the proposal/confirmation siblings it pairs with, which keeps it below a 5.

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?

'Proposes only' implies this is the entry point to an approval workflow rather than a direct mutation, which gives implied guidance on when to call it. However, it never states when NOT to use it, nor points to confirm_change/discard_change for completing or aborting the proposal, so the workflow routing is left to inference.

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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