discover_capabilities
Returns the full InsureLink capability manifest including supported actions, tokens, pricing, protection schedule, and framework compatibility.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Returns the full InsureLink capability manifest including supported actions, tokens, pricing, protection schedule, and framework compatibility.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of disclosing side effects. 'Returns' implies a read-only operation, but it does not explicitly state that it makes no changes, costs nothing, or requires no special permissions. It does provide transparency about the response contents, which is useful, but stops short of a full safety profile.
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, well-structured sentence that front-loads the main purpose ('Returns the full InsureLink capability manifest') and then lists the key contents. Every word contributes value; there is no fluff or repetition.
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?
Given the tool's low complexity (no parameters, no output schema, no annotations), the description fully defines what the tool does and what the user will receive. It lists the manifest's categories, making the response's scope clear without needing additional details.
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 the baseline is 4 per the rubric. The schema is empty and coverage is trivially 100%, leaving no parameter semantics to explain. The description adds no parameter information, which is fine since there are none.
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 the specific verb 'Returns' with the resource 'full InsureLink capability manifest' and lists concrete contents (supported actions, tokens, pricing, protection schedule, framework compatibility). This clearly distinguishes it from sibling tools, which are action-oriented, making the purpose unambiguous.
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 context by stating what is returned, so an agent can infer this is the go-to tool for discovering capabilities. It does not explicitly exclude alternatives or provide when-not-to-use guidance, but the context is clear and there are no similar discovery tools among siblings.
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.
Many tools have similar purposes, such as the three simulation tools (simulate_action, simulate_paid_action, simulate_paid_action_batch) and the two payment wrappers (pay_then_call, insurelink_charge). While descriptions clarify distinctions, an agent may struggle to choose correctly without careful reading.
All tool names use lowercase snake_case with a consistent verb_noun or verb_noun_noun pattern (e.g., get_reputation, subscribe_attestation_freshness). No mixing of conventions or styles.
With 28 tools, the surface is larger than typical. While each tool serves a specific function, many could be consolidated (e.g., simulation tools, payment wrappers) to reduce cognitive load. The count exceeds the 25-tool threshold for 'too many'.
Core operations for reputation, attestation, SLA lifecycle, and payments are present. However, gaps exist: no tool to list individual SLAs or update an SLA beyond renewal/reset, and no dispute or pricing query tool. The set covers the domain but has notable missing operations.