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Recall memory

recall_memory

Retrieve and display specific memories from Pathmark's memory store before answering, ensuring transparent context use in MCP-capable harnesses.

Instructions

Transparent recall for any MCP-capable harness. Use this at task start or before answering to show exactly which memories were used.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsNoExact memory IDs from a prior Pathmark context block. Preserves the original visible-recall set.
kindNo
tagsNoOptional tags to scope visible recall, such as the current workspace tag.
limitNo
queryNoTask, repo, or question to retrieve memory for. Empty query returns recent records.
namespaceNo
includeRecordsNoInclude a second full-record copy. Defaults to true for compatibility.
Behavior2/5

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

No annotations present, so description must fully disclose behavior. It mentions 'transparent recall' and 'preserves original visible-recall set' but lacks details on side effects, auth, or rate limits. Jargon ('Pathmark context block') is unexplained.

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 sentences, no fluff, front-loaded with purpose and usage context. Every sentence earns its place.

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?

With 7 parameters, no output schema, and no annotations, the description leaves gaps: no explanation of output format, how parameters like 'ids' and 'query' relate, or what 'namespace' means. Insufficient for a complex tool among many siblings.

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 covers 5 of 7 parameters with descriptions; tool description adds no parameter-level detail. Missing descriptions for 'limit' and 'namespace' are not compensated by the 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?

Description clearly states it recalls memories and is used to show which memories were used. However, it does not explicitly distinguish from sibling 'search_memory' or other recall-like tools.

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

Usage Guidelines3/5

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

Description provides when to use ('at task start or before answering') but no guidance on when not to use or alternatives like search_memory.

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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