random_birth
Get a random public birth.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get a random public birth.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description provides minimal behavioral insight. It does not disclose whether the tool is read-only, has side effects, or requires any permissions. The word 'Get' implies read-only, but it's not explicit.
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 sentence, front-loaded and free of fluff. However, it is under-specified for a tool that could benefit from a bit more context (e.g., what a 'public birth' is).
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 simplicity (no params, no output schema), a slightly richer description could improve completeness. It lacks information about the return value (e.g., a birth record ID or full details) and behavioral context.
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 description adds no param information, which is acceptable. The schema description coverage is 100% (vacuously). Baseline 4 applies.
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 clearly states the action ('Get') and the resource ('a random public birth'), distinguishing it from siblings like get_birth (specific) and list_births (all). The term 'public birth' is slightly ambiguous but understandable in context.
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?
No guidance on when to use this tool versus alternatives. The description does not mention scenarios like needing a random sample or when not to use it.
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.
Each tool addresses a distinct operation: merge workflows (stage, join, lock, confirm, cancel, status) are separate from birth queries (get, list, search, random, certificate, lineage, verify) and auxiliary functions (stats, revocations, colony handle verification). No two tools have ambiguous purposes.
Most tools follow a clear verb_noun pattern (cancel_merge, get_birth, list_births), with minor exceptions like 'merge_status' (noun_verb) and 'random_birth' (adjective_noun). The convention is largely consistent and readable.
16 tools is a reasonable count for a system handling both birth certificates and merge intents. The number is well-scoped, not excessive, and each tool contributes to covering the domain without redundancy.
The tool surface covers the full merge lifecycle (stage, join, lock, confirm, cancel, status) and birth querying (get, list, search, random, certificate, lineage). While there is no explicit tool to create a birth (it is a product of a merge), the set feels complete for the intended workflows.