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Update Daily Log

update_daily_log
Destructive

Use this when working with RetailHardHat field_operations records in the connected organization. Edit a field daily log. No change occurs until a human approves the exact request in Settings > MCP and execute_approved_action is called. MCP approval requirements are configurable by the organization administrator; business workflow approvals always apply.

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": {
      "dailyLogId": "<dailyLogId>",
      "data": "<data>"
    },
    "name": "update_daily_log"
  }
}

Input Schema

NameRequiredDescriptionDefault
dataYes
dailyLogIdYes

Output Schema

NameRequiredDescriptionDefault
dataYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Goes well beyond the annotations by disclosing the two-stage approval flow: nothing changes until a human approves the exact request and execute_approved_action is called, and org-level approval config also applies. This is high-value context for a destructiveHint=true, idempotentHint=false tool. It still does not say whether the edit is a merge/patch or a full replacement of the data object, which matters given the destructive hint.

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?

Four short sentences, with the usage trigger front-loaded and the critical approval constraint immediately after the action statement. The two approval sentences overlap slightly (MCP approval config vs. business workflow approvals) but each carries distinct information.

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

Completeness3/5

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

An output schema exists, so return values need not be explained, and the approval gate is covered. What is missing is the mutation semantics for a nested data object on a destructive-flagged tool — whether the update is partial or whole-object replacement, and whether unrecognized existing values are dropped.

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 description adds no information about dailyLogId or the nested data fields (summary, entryDate, workersOnSite, weatherConditions). For a nested-object mutation with zero documented parameters, the description should at minimum clarify whether omitted fields are cleared or preserved.

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?

States a specific verb and resource ("Edit a field daily log") and scopes it to RetailHardHat field_operations records, which distinguishes it from create_daily_log and delete_daily_log. It does not explicitly name those siblings, so an agent must infer the boundary from the verb alone.

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?

The opening clause gives a context for use and the approval paragraph explains the gating step before the edit takes effect. However, no alternatives are named and there is no guidance on when to prefer update over delete/recreate or which sibling handles related log fields.

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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