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list_memories

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List recent memories for an agent (for dashboard display). bug-385: limit is clamped to 500 rows. When the caller asked for more and rows past the cap exist, the response carries budget_rows (the cap), so a capped listing can be told…

Instructions

List recent memories for an agent (for dashboard display). bug-385: limit is clamped to 500 rows. When the caller asked for more and rows past the cap exist, the response carries budget_rows (the cap), so a capped listing can be told from one that reached the end of the data — reach the rest through export_memories or a narrower filter, not a larger limit. bug-255: within that cap the response holds a 1,000,000-character content budget. Rows are returned newest-first and none is dropped by the budget; once it is spent, later rows LONGER than the preview cap (CPERSONA_RECALL_PREVIEW_CHARS, default 500) degrade to a pure prefix with content_truncated/content_len and a ref that get_contents expands under the row's own agent_id (in an all-agents listing, pair the ref with the row's agent_id field). budget_chars appears iff at least one row was degraded. The effective ceiling is the budget plus one whole row plus the degraded rows' prefixes, so it scales with the preview cap; preview cap 0 disables trimming and the budget with it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax memories to return
agent_idNoAgent identifier (empty for all agents)
project_idNov2.4.17 γ filter. Omit → no filter; '' → global pool only; 'X' → 'X' ∪ global pool. v2.5.1: pass '@auto' to resolve this agent's default from the server's operating context, echoed as resolved_project_id. An unmapped agent gets '' with operating_context_warning; enforce='off' omits the warning, and enforce='reject' refuses a write. bug-186: resolution requires a configured operating context. With none (the default, or an unparsable sidecar) '@auto' is NOT resolved: it is stored and filtered as a literal project_id, resolved_project_id echoes '@auto', and no warning is raised. Check resolved_project_id before relying on it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.6.12
    • changedInput schema / properties / project_id / description
      Previous value: -"v2.4.17 γ filter. Omit → no filter; '' → global pool only; 'X' → 'X' ∪ global pool. v2.5.1: pass '@auto' to resolve this agent's default from the server's operating context (the resolution is echoed as resolved_project_id; an unmapped agent yields operating_context_warning). bug-186: resolution requires a configured operating context. With none — the default, and equally the outcome of a sidecar that fails to parse — the sentinel is NOT resolved: it is stored and filtered as the literal project_id '@auto', resolved_project_id echoes '@auto', and no warning is raised. Read resolved_project_id before relying on the resolution."New value: +"v2.4.17 γ filter. Omit → no filter; '' → global pool only; 'X' → 'X' ∪ global pool. v2.5.1: pass '@auto' to resolve this agent's default from the server's operating context, echoed as resolved_project_id. An unmapped agent gets '' with operating_context_warning; enforce='off' omits the warning, and enforce='reject' refuses a write. bug-186: resolution requires a configured operating context. With none (the default, or an unparsable sidecar) '@auto' is NOT resolved: it is stored and filtered as a literal project_id, resolved_project_id echoes '@auto', and no warning is raised. Check resolved_project_id before relying on it."
  2. Changed1 schema field changedv2.5.2
    • changedInput schema / properties / project_id / description
      Previous value: -"v2.4.17 γ filter. Omit → no filter; '' → global pool only; 'X' → 'X' ∪ global pool."New value: +"v2.4.17 γ filter. Omit → no filter; '' → global pool only; 'X' → 'X' ∪ global pool. v2.5.1: pass '@auto' to resolve this agent's default from the server's operating context (the resolution is echoed as resolved_project_id; an unmapped agent yields operating_context_warning). bug-186: resolution requires a configured operating context. With none — the default, and equally the outcome of a sidecar that fails to parse — the sentinel is NOT resolved: it is stored and filtered as the literal project_id '@auto', resolved_project_id echoes '@auto', and no warning is raised. Read resolved_project_id before relying on the resolution."
  3. Changed1 schema field changedv2.4.34
    • addedInput schema / properties / project_id
      Added value: +{
+  "description": "v2.4.17 γ filter. Omit → no filter; '' → global pool only; 'X' → 'X' ∪ global pool.",
+  "type": "string"
+}
  4. First observedv0.1.0

TDQS

A4/5.0
Behavior5/5

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

Annotations only declare readOnlyHint=true, and the description supplies substantial extra behavior: the 500-row clamp, the 1,000,000-character content budget, newest-first ordering, degradation of long rows to prefixes with content_truncated/content_len and a ref, the conditional presence of budget_chars, and preview-cap-zero disabling. This is exactly the kind of edge-case context annotations cannot convey.

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

Conciseness3/5

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

The purpose is front-loaded, but the remainder is a dense wall of text with bug-385/bug-255 tags and deep edge cases (preview cap 0, ceiling formula) packed into unbroken sentences. Most content is substantive, yet the presentation makes it hard to parse and would benefit from structure.

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

Completeness5/5

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

With no output schema, the description carries the return-value burden and does so: it explains budget_rows, budget_chars, content_truncated, content_len, ref, and the degradation rules. An agent has enough to interpret a capped or truncated response correctly.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description goes beyond the schema by noting limit is clamped to 500 and by explaining that in an all-agents listing the ref must be paired with the row's agent_id — practical usage semantics the schema does not convey. project_id is left to its already-rich schema 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?

States a specific verb and resource: 'List recent memories for an agent'. It also names the scope condition and references the export_memories sibling for reaching more data. However, it does not explicitly distinguish itself from recall/reconstruct/recall_with_context, which are the closest read siblings.

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?

It gives one concrete routing instruction — to get past the 500-row cap, use export_memories or a narrower filter, not a larger limit. But it never states when to choose list_memories over recall, recall_with_context or reconstruct, so overall selection guidance is only partial.

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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