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3lehr
by 3lehr

session_checkpoint_lesen

Reads a session checkpoint and provides a deterministic recommendation on whether to switch chat context.

Instructions

Liest einen Checkpoint und gibt optional eine deterministische Chatwechsel-Empfehlung.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
current_topic_fingerprintNo

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It does convey that this is a read operation and adds a useful behavioral trait by labeling the recommendation 'deterministisch.' However, it does not describe what happens when the checkpoint is missing, what the returned recommendation contains, or how determinism is achieved.

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

Conciseness4/5

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

The description is a single efficient sentence with the core action front-loaded and no filler. It is appropriately sized for a simple tool, though a short parameter or output note would make it more useful.

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

Completeness2/5

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

Given no annotations, no output schema, and no parameter descriptions, this tool is under-documented. An agent cannot reliably know what to pass for the optional fingerprint or what shape the returned checkpoint and chat-switch recommendation take.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not mention session_id or current_topic_fingerprint. The word 'optional' hints at some optionality, but an agent cannot determine which parameter is optional or how to populate current_topic_fingerprint.

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 clearly states the action ('Liest einen Checkpoint') and the distinctive secondary output ('gibt optional eine deterministische Chatwechsel-Empfehlung'), so an agent can tell this is a checkpoint-read tool. It does not explicitly contrast with sibling tools, but no direct checkpoint-reading sibling appears in the list.

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?

There is no guidance on when to use this tool versus alternatives such as prompt_invarianz_pruefen or the knowledge/project tools. The chat-switch recommendation hints at one use case, but conditions, prerequisites, and exclusions are not stated.

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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