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Backlog MCP Server

get_watching_list_count

Obtain the number of items a user is watching in Backlog. Helps quantify a user's tracked issues.

Instructions

Returns count of watching items for a user

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdYesUser ID
organizationNoOptional organization name. Use list_organizations to inspect available organizations.
Behavior2/5

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

No annotations are provided, and the description only says 'Returns count'. It does not disclose any behavioral aspects like permissions required, side effects, or whether the count is cached or real-time. The agent gets no information beyond the obvious.

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?

The description is a single sentence with no wasted words, directly conveying the tool's function. It is optimally concise for an agent to quickly understand.

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

Completeness3/5

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

For a simple count retrieval tool, the description is mostly adequate but lacks specification of the return format (e.g., returns an integer). Without an output schema, this omission reduces completeness. It also does not mention if the count is scoped to an organization when the optional parameter is omitted.

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 coverage is 100%, and the description adds no extra meaning to parameters beyond what the schema already provides. The baseline of 3 is appropriate given the high schema coverage.

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

Purpose5/5

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

The description 'Returns count of watching items for a user' clearly states the action (returns), resource (count of watching items), and target (for a user). It distinguishes itself from sibling tools like get_watching_list_items, which returns the actual items.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., get_watching_list_items for detailed view, or add_watching for adding items). The description lacks context about typical use cases or scenarios.

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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