lawcus_list_lead_sources
Lawcus: the firm's lead sources (Website, Referral, Google, ...). Ids go into lead and contact filters.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Lawcus: the firm's lead sources (Website, Referral, Google, ...). Ids go into lead and contact filters.
| 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 readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful context about the kind of values returned and how IDs are consumed, but it does not describe return format, ordering, or any other behavioral detail beyond that.
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?
Two short sentences with no wasted wording; the resource and its practical use are front-loaded.
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 simple no-parameter list tool with annotations covering read-only behavior, the description supplies enough context: what is listed, example values, and how the IDs are used. It could mention whether all sources are returned or how they are ordered, but the essentials are present.
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 tool has zero parameters, so the baseline is 4. The empty schema is consistent with the description, and no parameter semantics are needed.
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 the specific resource (the firm's lead sources) and gives concrete examples (Website, Referral, Google), making it clear this is not the same as listing leads. It lacks an explicit verb and does not directly name the sibling it contrasts with, so it is clear but not fully sibling-differentiating.
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?
It implies usage by explaining that resulting IDs go into lead and contact filters, which tells an agent why to call it. However, it gives no explicit when-to-use guidance or alternatives versus related tools such as lawcus_list_leads.
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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