List cards waiting for a decision
list_cardsEverything the agent has prepared and is waiting for the user to approve: who it is for, the exact text, and the card id that decide_card takes.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_cardsEverything the agent has prepared and is waiting for the user to approve: who it is for, the exact text, and the card id that decide_card takes.
| 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, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful workflow context the annotations lack: these are agent-prepared items in a pending-decision queue, and their ids are the input contract for decide_card. No pagination, ordering, or scoping behavior is disclosed, keeping it short of a 5.
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?
One sentence, zero filler, and it is front-loaded with what the tool returns before naming the downstream dependency. Every clause carries information: identity of the items, their state, and their key fields.
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?
With no parameters and no output schema, the description carries the full burden of describing returns — and it does so by naming the three fields an agent needs (who it is for, exact text, card id). For a simple zero-arg read tool, nothing material 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 takes zero parameters, so per the rubric the baseline is 4. There are no arguments whose semantics could be clarified, and the description correctly spends no space on parameter documentation.
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?
States a specific resource (cards the agent has prepared awaiting user approval) and enumerates what they contain: recipient, exact text, and card id. It explicitly names the sibling decide_card as the consumer of the returned ids, so an agent can distinguish this from decide_card and from list_* tools that return other entities.
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?
Implies the when clearly: call this to see pending decisions and to obtain the card id that decide_card requires. It stops short of explicit exclusions (e.g., what to do if no cards exist, or how it relates to who_is_waiting_on_me), so it is strong context rather than full routing guidance.
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.