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List your watches

list_watches
Read-only

List all active watches for your client with their health, last check time and number of pending (undelivered) changes.

Input Schema

NameRequiredDescriptionDefault
client_tokenNoOnly if this conversation already uses a Watchtower token (wt_...) from before the app was connected. Otherwise leave it out; never ask the user for one.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / client_token / description
      Previous value: -"Your Watchtower client token (wt_...). Optional if the MCP connection sends \"Authorization: Bearer <token>\"."New value: +"Only if this conversation already uses a Watchtower token (wt_...) from before the app was connected. Otherwise leave it out; never ask the user for one."
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare this a safe, read-only, non-open-world operation, so the safety burden is lifted. The description adds that only *active* watches are returned and what fields come back, but says nothing about ordering, result size, or behavior when the client has no watches.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that front-loads the verb and scope, then lists the returned fields. No filler, no restatement of the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description usefully tells the agent what the response contains (health, last check time, pending changes). Safety is covered by annotations and the sole optional parameter is covered by the schema, so only minor gaps (ordering, empty-state behavior) remain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the schema itself gives careful guidance on the optional client_token, including the warning never to ask the user for one. The description adds no parameter meaning beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (List) and resource (watches) scoped to 'your client', and enumerates what each entry carries (health, last check time, pending change count). It implicitly separates itself from the singular get_watch, but never names a sibling, so it falls short of full sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all: nothing explains how this differs in practice from get_watch for a single watch or how it relates to watch_jobs/delete_watch. The only usage-adjacent text lives in the schema, not the description.

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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