Members
core_membersWho has access: email members (Google sign-in) and token keys (agents, link shares).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
core_membersWho has access: email members (Google sign-in) and token keys (agents, link shares).
| 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, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context by clarifying that the tool includes both email members (Google sign-in) and token keys (agents, link shares), which goes beyond what the annotations provide.
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, front-loaded sentence with no wasted words. It efficiently conveys the data scope without redundancy.
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 is nearly sufficient: it explains the two access categories returned. It could be slightly more complete by indicating whether token secrets are masked or what fields are included, but the essential context is 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 takes zero parameters, so there are no parameter semantics to document. Per the scoring baseline for 0 params, this dimension defaults to 4.
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 identifies the resource ('who has access') and the two categories covered: email members and token keys. It is clear what the tool returns, though it lacks an explicit verb like 'list' and does not name sibling tools such as core_invite or core_revoke_member.
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 explicit guidance on when to use this tool versus alternatives like core_invite or core_revoke_member. The description only states what the tool covers, leaving the agent to infer that it is a read/list operation from the tool name and annotations.
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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