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AlgoChains

AlgoChains MCP Server

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by AlgoChains

get_openclaw_memory

Read-onlyIdempotent

Retrieve stored trading agent memory including trade lessons, regime history, and signal quality. Optionally filter by key prefix for targeted insights.

Instructions

Read the OpenClaw agent memory store. Contains trade lessons, regime history, signal quality scores, and cross-session agent context. Filter by key_prefix (e.g. 'trade', 'regime', 'bot') to narrow results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
key_prefixNoOptional prefix filter on memory keys
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint. The description adds content details (trade lessons, regime history, etc.), providing useful context beyond annotations. However, it does not disclose traits like pagination behavior or response format.

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?

Two concise, front-loaded sentences with no redundancy. Efficiently communicates purpose, contents, and filtering option.

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?

Lists contents partially but lacks details on output structure (e.g., key-value format, pagination). With no output schema, more contextual clues would help, but the description is minimally adequate.

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 50% (key_prefix has description, limit does not). Description gives examples for key_prefix, adding value, but does not explain limit despite its default value and integer type.

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 it reads the OpenClaw agent memory store, listing specific contents. While distinct from siblings like get_openclaw_state_summary by name, it does not explicitly differentiate from them.

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?

No guidance on when to use this tool versus alternatives or when not to use it. Only implies reading and filtering, no explicit context for decision-making.

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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