get_dashboard_config

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

With no annotations, the description carries full burden. It discloses the source (GitHub) and that it returns the complete current config, which is useful. However, it does not mention any side effects (e.g., network call, authentication) or confirm non-mutating behavior explicitly, leaving a minimal but adequate level of transparency.

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, front-loaded sentence with no redundant words. Every word contributes meaning (verb, scope, source).

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 getter, the description provides enough context: it identifies the exact data being fetched (complete dashboard config) and the source (GitHub). No output schema exists, but the description's mention of 'complete configuration' gives a high-level idea of the return value.

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 schema coverage is trivially 100%. The description appropriately doesn't need to add parameter details. Baseline 4 applies because the schema fully handles parameters.

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 uses a specific verb ('Get') and identifies a clear resource ('current complete dashboard configuration') plus source ('from GitHub'). It clearly distinguishes from sibling tools that add, update, remove, or upload dashboard-related items.

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 implies usage as a read-only getter, especially given sibling tools are mutation-focused, but it does not explicitly state when to use it versus alternatives or provide exclusions. This is implied guidance rather than explicit direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.