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canvas-mcp

改岗位配置

patch_staff_config

局部修改岗位配置,patch 只放要改的字段:personaPrompt(人设) / serviceFlow(服务流程,一行一步) / promotionConfig({categories:[{name,priority,url}]}) / productSources([{key,label,searchUrl,weAppId?,weAppUsername?}]) / layoutStyle(split|pip|classic) / contextMode(inline|webhook) / contextWebhookUrl / name。参数:slug、patch 都必填。这是写操作,改的是客户的岗位,改完立刻生效;不确定用户真要改时先复述一遍再调。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
patchYes要改的字段

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it declares this is a write, that it mutates the customer's job configuration, and that changes are immediately live. It does not cover auth/permission requirements or response shape, so not a 5.

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?

Front-loaded with the action and the patch-only rule, then the field list, then the required-params and safety note. The field enumeration is dense but earns its place; slightly list-heavy but no filler sentences.

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 2-param mutation tool with nested objects, no annotations and no output schema, the description covers required params, mutation semantics, immediacy, and field shapes. Missing return-value or error behavior, but that is a minor gap here.

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

Parameters5/5

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

Schema coverage is only 50% (slug has no description, patch is loosely typed), but the description compensates: it states both slug and patch are required and fully documents the patch fields, including shapes and enums (layoutStyle split|pip|classic, contextMode inline|webhook, promotionConfig and productSources object structures).

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+resource: partial (patch) modification of the 岗位配置, and enumerates exactly which fields can be changed. It is clearly distinguished from the read counterpart get_staff_config by name and by the word 局部修改, though it never explicitly names the sibling as an alternative.

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

Usage Guidelines4/5

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

Gives real operational guidance: it is a write operation on the customer's job, changes take effect immediately, and the agent should restate the change to the user before calling when intent is unclear. No explicit when-not or alternative-tool routing, which keeps it below 5.

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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