lawcus_list_team_members
Lawcus: the people on the firm's team with id, uuid, name, role and hourly rate. Ids are used in matter, task and report filters.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Lawcus: the people on the firm's team with id, uuid, name, role and hourly rate. Ids are used in matter, task and report 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?
readOnlyHint=true and openWorldHint=true already establish that this is a safe external read, so the description needn't restate safety. It contributes the returned field set, which matters because there is no output schema, but says nothing about pagination, ordering, or whether inactive members are included.
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 tight sentences with the payoff (filter ids) placed after the content description where it belongs. The 'Lawcus:' prefix is minor filler but the rest earns its space.
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 with no output schema, the description covers what the tool returns and why it is useful. The only real gap is the absence of any note on result size or whether the list is complete versus paginated.
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 takes zero parameters, so there is no parameter semantics to explain; the baseline applies. The description correctly does not invent inputs that the empty schema would reject.
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 resource ('the people on the firm's team') and enumerates the fields returned (id, uuid, name, role, hourly rate), which clearly separates it from contact/lead list tools. It stops short of a verb-first statement like 'List all firm team members', but the intent is unambiguous.
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 second sentence supplies a concrete use case: team-member ids feed matter, task and report filters. That gives the agent a clear reason to call this tool, though it offers no explicit exclusions or guidance against siblings such as lawcus_get_me.
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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