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storeMilestone

Captures and stores project milestones with titles, descriptions, and importance levels for long-term memory retention, enhancing AI assistant recall and decision-making.

Instructions

Stores a project milestone in the long-term memory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesDescription of the milestone
importanceNoImportance level (low, medium, high)medium
metadataNoOptional metadata for the milestone
titleYesTitle of the milestone
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 burden of behavioral disclosure. It states the tool stores data in 'long-term memory', implying persistence, but doesn't clarify what 'long-term' entails (e.g., durability, retrieval mechanisms), whether it's a write operation with potential side effects, or any error conditions. For a storage tool with zero annotation coverage, this is a significant gap in transparency.

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 that directly states the tool's purpose without any unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every part of the sentence earns its place by conveying essential information.

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 the complexity of a storage operation with no annotations and no output schema, the description is incomplete. It doesn't explain what happens after storage (e.g., success/failure indicators, return values, or how to retrieve the milestone later). For a tool that modifies state, more behavioral context is needed to guide the agent effectively.

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?

The input schema has 100% description coverage, with clear documentation for all 4 parameters (title, description, importance, metadata). The description adds no additional meaning beyond what the schema provides, such as explaining how parameters interact or their impact on storage. With high schema coverage, the baseline score of 3 is appropriate as the schema does the heavy lifting.

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 ('Stores') and resource ('a project milestone in the long-term memory'), which is specific and unambiguous. However, it doesn't differentiate from sibling tools like 'storeAssistantMessage', 'storeDecision', or 'storeRequirement', which also store different types of data in memory, so it doesn't fully distinguish its purpose from alternatives.

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. It doesn't mention when to choose 'storeMilestone' over other storage tools like 'storeDecision' or 'storeRequirement', nor does it specify any prerequisites or exclusions for usage. This leaves the agent without context for tool selection.

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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