Your access + meter
agent_access_statusCurrent identity, freshly checked entitlement, daily usage meter and access instructions. Use when a subscriber tool is missing or refused.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
agent_access_statusCurrent identity, freshly checked entitlement, daily usage meter and access instructions. Use when a subscriber tool is missing or refused.
| 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 idempotentHint=true, so the agent knows this is a safe, non-mutating operation. The description adds context about what the tool returns (identity, entitlement, usage meter, access instructions) and the freshness of the check ('freshly checked entitlement'), which goes beyond the annotations. No contradiction.
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, information-dense sentence that front-loads the key outputs (identity, entitlement, meter, instructions) and ends with a clear usage trigger. Every word earns its place.
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, idempotent tool with no output schema, the description fully covers what an agent needs: what it returns, when to call it, and the safety profile from annotations. Nothing is missing.
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 schema is trivially complete (100% coverage). The description doesn't need to explain parameters, and it doesn't. Baseline 4 for zero-param tools is appropriate.
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 clearly states the tool's purpose: it provides current identity, freshly checked entitlement, daily usage meter, and access instructions. The verb 'Use when' further clarifies its role. It distinguishes itself from siblings by focusing on access status rather than trading or research functions.
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 explicitly states when to use this tool: 'Use when a subscriber tool is missing or refused.' This provides clear context and a specific trigger condition, which is strong guidance for an agent deciding between tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.