Ergebnis eines fertigen Solve-Jobs: assignments [{employee_id, shift_id, date}], unassigned_shifts mit Begründung, Statistiken.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full responsibility for behavioral disclosure. The description indicates it is safe (returns results) and mentions specific output fields (assignments, unassigned_shifts, statistics), adding value beyond reading. However, it does not state idempotency, rate limits, or potential side effects. It is clear but not exhaustive.
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 that lists key output components, which is concise and front-loaded with the main purpose. However, it uses a compact style that blends German and technical terms, which might reduce clarity for some agents.
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 has only one parameter and an output schema (which presumably details the return structure), the description is reasonably complete. It lists the main categories of data returned. For a simple retrieval tool, this suffices, but it could explicitly mention that it requires a valid job_id from a completed solve_submit call.
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?
With schema description coverage at 0% and only one required parameter ('job_id'), the description compensates by indicating the parameter identifies a completed job. The description adds meaning by mentioning the job must be 'fertig' (finished). However, it could further clarify the format or origin of job_id.
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 explicitly states it returns results of a completed solve job, including assignments, unassigned shifts with reasons, and statistics. This clearly identifies the tool's purpose and resource. However, it does not differentiate from sibling tools like 'solve_status' or 'solve_submit' beyond implying finality.
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 the tool should be used after a solve job has completed ("fertigen Solve-Jobs"), but it does not explicitly state when to use this versus alternatives like 'solve_status' or 'solve_submit'. No exclusions or prerequisite conditions are provided, leaving the agent to infer context.
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.
Every tool has a clearly distinct purpose: account_balance for token info, example_payload for generating example requests, service_info for version details, and the solve_* trio (submit, status, result) covering the full lifecycle without overlap.
All names use lowercase underscores, and the core workflow tools consistently start with 'solve_'. The administrative tools (account_balance, example_payload, service_info) follow a noun_noun pattern, which is slightly different but still readable and predictable.
With 6 tools, the server is well-scoped: three tools for the core planning workflow, plus essential support tools for tokens, examples, and version info. No tool feels redundant or missing.
The solve lifecycle is fully covered (submit, status, result). The addition of example payload and account balance addresses common needs. Minor gaps like job cancellation or listing are absent but not critical for the main use case.