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Ian3738
by Ian3738

session_clear

Clear datasets and models from the R session to free memory and prevent one analysis from contaminating the next. Use the keep parameter to preserve specific objects.

Instructions

Remove datasets and models from the session, freeing memory and preventing one analysis from leaking into the next. Use it when switching to an unrelated topic. Pass keep to hold on to named objects. Safer than clearing by hand: it never touches the server's own internal bindings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keepNoNames of objects to keep.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden. It discloses side effects (freeing memory), scope (session only), preservation behavior (`keep`), and a safety property (never touches the server's internal bindings). This is rich, useful behavior disclosure.

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?

Four short, purposeful sentences: action, use case, parameter hint, and safety caveat. There is no wasted text and the most important behavior is front-loaded.

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

Completeness5/5

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

For a one-optional-parameter tool with no output schema, the description covers operation, usage context, parameter semantics, and behavioral safety. Nothing essential is missing for an agent to invoke it correctly.

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?

Schema coverage is 100%, and the schema already describes `keep` as 'Names of objects to keep.' The description adds a small semantic gloss with 'hold on to named objects,' but largely restates the schema, so baseline 3 is appropriate.

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 opens with a specific verb and resource: 'Remove datasets and models from the session.' It clearly identifies session-scoped cleanup and differentiates itself from sibling data/analysis tools by scope and safety guarantee.

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?

Explicitly states when to use the tool: 'Use it when switching to an unrelated topic.' It also explains how to preserve objects with `keep`. It does not name alternatives or give when-not-to-use conditions, so it is not a full 5.

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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