list_company_lists
List durable company/account lists imported into Salesbot, including exact company_list_id, source URL, provider product and company count.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List durable company/account lists imported into Salesbot, including exact company_list_id, source URL, provider product and company count.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the operation read-only, idempotent, and non-destructive. The description adds useful behavioral context beyond that by specifying that the lists are durable, imported, and that results include company_list_id, source URL, provider product, and company count. This fills in the output semantics without contradicting the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, tightly worded sentence that leads with the core action and resource, then appends only the specific fields returned. Every clause adds value and there is no filler or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter read-only list operation, the description is complete: it identifies the source category of lists and enumerates the meaningful fields an agent needs from the response. No output schema exists, but the description covers the key return expectations sufficiently for a tool of this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters and schema description coverage is 100%, so there is no parameter documentation burden on the description. The baseline for zero-parameter tools is 4, and nothing in the description needs to compensate for missing parameter explanations.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('List') and a specific resource ('durable company/account lists imported into Salesbot'), and it clarifies the scope by emphasizing imported company/account lists as opposed to lead lists or companies. It also states the key result fields, making the tool's purpose unmistakable among siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies a use case for retrieving imported company/account lists but provides no explicit guidance on when to choose this tool over alternatives such as list_lead_lists, list_companies, or import_linkedin_company_list. There are no conditions, exclusions, or alternative tool references.
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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