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Generate sales / support / info script

generate_agent_script

Generate the agent's full sales script (8 stages) and email_script (for email/LinkedIn channels). Requires company_name AND company_description already set on the agent — call set_agent_company first. Costs 1 credit. Re-running OVERWRITES the existing script.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
purposeNo
script_styleYes

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses that re-running overwrites the existing script, that it costs 1 credit, and that it requires company data to be present. It does not explain error behavior if the prerequisite is unmet or what the return value is, but the main mutation and cost effects are transparent.

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?

Three short sentences deliver the output, the prerequisite, and the side effects with no wasted words. The main result is front-loaded, and each sentence earns its place.

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?

The description covers prerequisites, cost, overwrite behavior, and the two artifacts generated, which is solid context for a mutation tool. However, with no output schema and zero schema-level parameter descriptions, leaving id, purpose, and script_style unexplained means the context is not fully complete for a correct call.

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

Parameters1/5

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

Schema description coverage is 0%, so the description needed to explain id, purpose, and script_style, but it does not. The title hints at sales/support/info and the schema enums are self-descriptive, yet nothing in the description maps parameters to outputs or explains what id refers to.

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 tool generates the agent's sales script and email_script, which is a specific verb plus resource and distinguishes it from generate_agent_description. However, it only mentions the sales variant in the body while the title and schema include support and info purposes, leaving a minor ambiguity about whether purpose selects the script type.

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?

The description explicitly gives a prerequisite and a required sequence: company_name and company_description must already be set, and set_agent_company should be called first. It also warns about cost and overwrite behavior. It does not explicitly contrast this tool with alternatives like generate_agent_description, so it misses full when-not-to-use guidance.

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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TDQS

B3.1/5.0
Disambiguation2/5

Despite consistently detailed descriptions, several tool pairs have unclear boundaries: `get_subscription_limits` and `get_agent_plan_limits` describe essentially the same agent-slot check, `crm_get_conversation` and `crm_communication_thread` both claim to return the full message thread, and `get_credit_usage_by_agent` vs `get_credit_usage_for_agent` differ only by preposition. At 149 tools, an agent will regularly misselect between these near-duplicates.

Naming Consistency4/5

The dominant pattern is verb_noun with domain prefixes (`crm_*`, `sdr_*`) and a consistent `preview_*` family that maps cleanly to destructive/expensive actions. Deviations are minor but real: CRM deletes use the inverted `delete_crm_*` form while other CRM ops use `crm_*`, and credit-usage tools mix `by_agent`/`for_agent` prepositions.

Tool Count1/5

149 tools is nearly three times the 50+ threshold the rubric treats as extreme, even though the platform genuinely spans agents, campaigns, audiences, CRM, SDR, billing, and connections. Many could be consolidated without losing capability — e.g. the 11 balance/credit-usage tools, the two LinkedIn-account listers, and the 15+ preview variants.

Completeness5/5

The surface is remarkably complete: full CRUD/lifecycle coverage for agents, campaigns, audiences, CRM leads/stages, and SDR searches, plus billing, analytics, and connection management. Destructive or costly operations all have preview/approval counterparts, so there are no dead ends. If anything the risk is over-coverage rather than gaps.

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