get_entitlements
Current plan name, trial/paid status, LinkedIn and email seat counts, active campaign limit, and credit balance.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Current plan name, trial/paid status, LinkedIn and email seat counts, active campaign limit, and credit balance.
| 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, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is fully covered by structured data. The description's added value is that it lists the returned fields, which matters because no output schema exists, but it says nothing about account scoping, freshness, or failure modes.
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?
A single tight sentence with no padding, and the most decision-relevant item (plan name/status) is front-loaded. It is a fragment without a verb, which costs it the top mark but not much else.
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 tool with no output schema, the description carries the burden of describing the return payload and does so reasonably well by listing the six returned values. Missing only account scoping and any hint about when the data is refreshed.
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 per the rubric the baseline is 4. There is nothing for the description to disambiguate, and it correctly avoids inventing parameter semantics.
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 enumerates the data the tool surfaces (plan name, trial/paid status, seat counts, campaign limit, credit balance), so an agent can infer it reads account entitlement info. However, it never states an action verb or explicitly frames this as a retrieval of the current account's plan, leaving the purpose implied rather than declared.
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?
There is no when-to-use guidance, no mention of prerequisites, and no differentiation from overlapping siblings such as get_overview. The agent must guess that this is the tool for plan/billing/seat context.
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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