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requests_setLeadSettings

Change the shop's lead rules. Owner or office. auto_reply sends one first reply per new request: a text only where the customer already agreed to texts or texted the shop and the shop's number is approved, else an email, else nothing.

Input Schema

NameRequiredDescriptionDefault
flagNo
skipNo
shop_idYes
auto_replyNo
after_hoursNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the entire burden. It does disclose the role restriction and a precise auto_reply channel fallback chain, but says nothing about whether this is a partial update or a replace-all of lead settings, whether flag/skip merge or overwrite, or what side effects occur on existing leads.

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?

Purpose is front-loaded in the first sentence and the role constraint follows immediately; the long auto_reply clause is dense but each clause conveys a distinct condition in the fallback chain. Slightly run-on, but no filler sentences.

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 five-parameter settings mutation with zero schema descriptions and no annotations, one parameter explained out of five leaves an agent unable to construct most valid, meaningful calls. The presence of an output schema excuses it from describing return values, but the input-side gap is large.

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 coverage is 0%, so the description must define the five parameters itself, and it defines only auto_reply. The distinction between 'flag' and 'skip' (both arrays over the same four customer-type enums) and the meaning of 'after_hours: offer vs hold' are completely opaque from both schema and description.

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?

'Change the shop's lead rules' gives a clear verb plus resource, and the auto_reply sentence makes the domain (lead qualification and first-reply behavior) concrete. It does not name its read-side sibling requests_leadSettings, so the get/set pairing is left for the agent to infer.

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?

'Owner or office' states who may invoke it, which is a useful prerequisite but an authorization note rather than when-to-use guidance. There is no explicit direction on when to call this versus requests_leadSettings or how it relates to requests_pipeline, so routing is only implied.

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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