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get_logs

Get console output (stdout + stderr) for an app. Useful for debugging runtime errors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appYesApp ID (UUID) or subdomain
headNoReturn only the first N lines of the fetched logs
tailNoNumber of recent log lines to return (default: 100, max: 1000)
sinceNoOnly return logs after this timestamp (ISO 8601 format)
end_lineNoEnd at this line number (1-indexed, inclusive). Use with start_line for a range.
start_lineNoStart from this line number (1-indexed). Use with end_line for a range.

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that the tool returns both stdout and stderr and implies a read-only operation via 'Get', but it does not mention side effects, authentication requirements, or default limits such as the tail=100 behavior. The schema partially compensates by describing filtering parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences and under 20 words, with the action verb 'Get' immediately conveying the purpose. It is front-loaded and contains no filler or redundant text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple and well-supported by the schema, which documents all parameters. The description gives adequate context for debugging use cases, and since no output schema is present, the return format is reasonably implied by 'console output'. The lack of annotations is a minor gap but not critical for this read-only tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All six parameters are fully described in the input schema (100% coverage), so the description does not need to add parameter-level details. The description adds no additional meaning about parameters, which is acceptable given the schema's completeness.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves console output (stdout + stderr) for an app, with a specific verb and resource. It is distinct from sibling tools like get_app_status or get_app_metrics, and the mention of stdout/stderr precisely scopes the output.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear usage context by stating it is useful for debugging runtime errors. However, it does not explicitly mention when not to use it or name alternative tools, though no sibling tool directly overlaps with log fetching.

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

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TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but a few pairs could be confused: get_app vs. get_app_status both report on app state, and update_app vs. set_node_version both modify runtime configuration. Descriptions are detailed enough to mitigate most ambiguity, but the overlap is notable.

Naming Consistency4/5

Tool names largely follow a consistent verb_noun snake_case pattern (e.g., list_apps, create_app, delete_file). Minor deviations include the bare verb 'login' and the noun-first 'git_info', which break the pattern slightly but are still understandable.

Tool Count3/5

At 37 tools, the set is on the heavy side, well above the typical 3-15 range. However, the server covers a broad PaaS domain (auth, app lifecycle, file management, packages, versions, git, metrics), and each tool addresses a distinct operation. It feels over-engineered in places but not gratuitously so.

Completeness5/5

The tool surface is impressively complete for a deployment platform: authentication, app CRUD, start/stop/restart, file operations (read/write/delete/rename/search/upload), package management, version snapshots and restore, git remote and push/pull, logs, metrics, and configuration. No critical dead-ends are apparent.

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