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List Brain Entries

aidelly_list_brain_entries
Read-onlyIdempotent

List Brain entries newest first, to review or manage knowledge. Filter by status (active, pending or archived), types and plain text q; scope=agency lists the agency Brain shared with this workspace. Rows carry snippets: use aidelly_get_brain_entry for full content. Pass next_cursor as cursor for the next page. Use aidelly_search_brain to find knowledge by topic. Read-only.

Input Schema

NameRequiredDescriptionDefault
qNoPlain text matched against titles and content.
limitNo
queryNoOptional query overrides for endpoints with sparse parameter schemas.
scopeNoworkspace
typesNoComma-separated Brain entry types.
cursorNonext_cursor from the previous page.
statusNoactive
brand_idNo
workspace_idNoWorkspace to operate in: the `id` of a workspace returned by aidelly_list_workspaces. Optional for read operations; required when creating content.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover readOnly/idempotent/non-destructive, but the description adds genuinely non-obvious behavior: list rows carry snippets only, and paging works by passing next_cursor back as cursor. That is real operational context beyond the structured fields, though it doesn't cover rate limits or error behavior.

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

Conciseness4/5

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

Four tight sentences, front-loaded with the action and ordering, then filters, then snippet/paging caveats, then sibling routing. Only the trailing 'Read-only.' is redundant with the readOnlyHint annotation, but it is a single word and harmless.

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

Completeness4/5

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

For a read-only paginated list with no output schema and 9 params, the description covers the semantics an agent needs to call it correctly and to interpret that results are snippets, not full entries. Gaps are minor (unexplained limit, brand_id/workspace_id, query override object).

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 only 56% across 9 params, so the description has to compensate, and it does for the important ones: status enum values, comma-separated types, plain-text q, and the non-obvious scope=agency semantics. It leaves limit, brand_id, workspace_id and the nested query override object unaddressed.

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?

States a specific verb and resource ('List Brain entries'), adds ordering ('newest first') and purpose ('to review or manage knowledge'). It explicitly names the two most confusable siblings (get_brain_entry for full content, search_brain for topic lookup) so an agent can route without opening either schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use context (review/manage knowledge, filter by status/types/q) and names both alternatives with the condition that selects each: get_brain_entry for full content, search_brain for topic discovery. Also explains the scope=agency case. Nothing is left to inference.

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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