get_capabilities

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

Annotations already establish this is a safe, non-destructive, non-open-world read (readOnlyHint=true, destructiveHint=false, openWorldHint=false). The description adds the useful fact that the payload includes limits, schema, and an example, but discloses nothing about freshness, scope, or cost.

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?

A single front-loaded sentence that names the verb and then lists the returned contents with no filler or redundancy.

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 an output schema present, the return payload does not need documenting, and annotations cover the safety profile. The only missing element for a zero-param utility is a cue on when in a workflow to invoke it, which keeps this just short of 5.

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?

Zero parameters, so per the rubric the baseline is 4. The description correctly implies no input is required by describing the call purely in terms of returned content.

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?

Specific verb ('Get') plus resource ('capabilities') with an enumeration of what is returned: supported operations, instruction/address limits, JSON schema, and an example. This clearly separates it from the mutating/inspection siblings (create_ldr, validate_ladder, inspect_ldr), though it never names them.

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: an agent can infer this is a discovery/introspection call for the LDR toolset. There is no explicit 'call this before X' guidance or any statement of when not to use it versus the sibling tools.

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