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get_logs

Retrieve JSONL log events from Frisco MCP sessions to debug AI grocery shopping automation. Access current or historical session data with configurable limits up to 2000 entries.

Instructions

Returns persisted JSONL log events for the current or selected session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sessionIdNoOptional session ID, defaults to current session
limitNoMax number of events to return (default 200, max 2000)
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. While it reveals the data format (JSONL) and persistence nature, it lacks critical behavioral context: it does not confirm read-only safety, specify event ordering (chronological vs reverse), or explain error cases (e.g., invalid sessionId).

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 a single, efficient sentence with no redundant words. It front-loads the action ('Returns') and immediately specifies the resource and format, making optimal use of limited space.

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

Completeness3/5

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

For a two-parameter tool without an output schema, the description adequately covers the core function but leaves gaps. It should disclose behavioral traits (ordering, read-only nature) and clarify the relationship to 'tail_logs' given the sibling tool context.

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?

With 100% schema description coverage, the baseline is 3. The description adds minimal value beyond the schema, though it does reinforce the 'current session' default behavior mentioned in the sessionId parameter description.

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

Purpose4/5

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

The description uses a specific verb ('Returns') and clearly identifies the resource ('persisted JSONL log events') and scope ('current or selected session'). The term 'persisted' implicitly distinguishes this from the sibling 'tail_logs', though it could be more explicit about this distinction.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'tail_logs', nor does it mention prerequisites or when not to use it. The only usage hint is the implicit session selection behavior.

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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