List monitors
list_monitorsThe account's saved monitors: what each one watches, its schedule, status and last run. Free: costs no credits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of results to return. |
list_monitorsThe account's saved monitors: what each one watches, its schedule, status and last run. Free: costs no credits.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of results to return. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds information the annotations do not carry: the operation is free/costs no credits, and it discloses what each returned record contains. It does not mention result-set size limits or ordering, which is the remaining gap.
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 short clauses with zero filler: the first front-loads what the tool returns, the second front-loads the cost characteristic. Nothing is repeated from the schema or annotations.
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 simple zero-required-param read with full annotation coverage and no output schema, the description supplies the two things structured fields cannot: the shape of each returned record and the credit cost. Only pagination behavior across the limit boundary is unaddressed.
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?
With a single optional parameter and 100% schema description coverage, the schema fully documents 'limit' (min 1, max 100, default 25). The description adds nothing about paging or how to enumerate beyond 100 monitors, so the baseline 3 applies.
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?
Names the resource (the account's saved monitors) and enumerates the per-item fields returned — what it watches, schedule, status, last run — so an agent knows this is an inventory listing. It is implicitly distinct from get_monitor (single) and list_monitor_runs/results, but never names those siblings explicitly, so differentiation is left to inference.
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?
Usage is only implied by the plural, inventory-style phrasing; there is no explicit statement of when to call this versus get_monitor for one monitor or list_monitor_runs for execution history. An agent can infer the role from the name, but the description does no routing work.
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.