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Recalld (US)

memory_add

Ingest content into memory (conversation or document inputs). Agent is fixed by the OAuth connection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsYescontent items to ingest
task_idNooptional shared task id; include findings in the task memory pool visible to other agents on the same task
thread_idNooptional free-form conversation/session label; reuse the same value to group memories within one session, omit for agent-wide memory

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It adds the constraint that the agent is fixed by the OAuth connection, which is useful context. However, it does not mention side effects beyond 'ingest', the persistence behavior, whether it is idempotent, or any restrictions on inputs (e.g., the 'deleted' field hints at deletion handling, but the description does not explain it). It provides some behavioral context but leaves important traits undisclosed.

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 two sentences, front-loaded with the primary purpose, and contains no filler. The addendum about OAuth is relevant and concise. Every word adds value.

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?

Despite having only 3 top-level parameters, the 'inputs' parameter is a nested array with several fields (kind, path, author, content, deleted, event_date, content_type). The description does not explain the expected structure or constraints (e.g., valid values for 'kind' or 'content_type'), nor does it mention return values or error behavior (no output schema). The tool's complexity warrants a more detailed description to guide an agent on correct invocation.

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 schema covers all top-level parameters (inputs, task_id, thread_id) with descriptions, so the baseline is 3. The description adds a note about 'conversation or document inputs' which loosely maps to the 'inputs' argument, but does not explain the nested structure or the meaning of 'kind' or 'content_type' beyond what the schema provides. The description adds marginal value over the schema.

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 states a clear action ('Ingest content into memory') and specifies the resource and input type ('conversation or document inputs'). The verb 'ingest' distinguishes it from sibling tools (memory_search, memory_recall, memory_filters) which are clearly for retrieval/filtering, not adding. Purpose is unambiguous.

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?

The description implies this tool is for adding content and siblings are for querying, but it does not explicitly state when to use this vs alternatives or when not to use it. There is no mention of 'use this for adding, memory_search for finding' or any exclusion context. Guidance is implied by the verb and the sibling names but not made explicit.

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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