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search_ai_log

[MAINTENANCE] d26b9943 (R2-B) — Read-only: EXACT-MATCH scoped search over ai_log_events, bounded and cursor-paginated. Every filter is a plain SQL equality (session_id/tenant_id/correlation_id/parent_event_id/actor_kind/actor_id/event_type) or an inclusive occurred_at range (since_occurred_at/unt...

SERVERMeridian SOURCE@meridianmcp/mcp
Low RISK CLASS
Category Read
Parameters 120 required
Recommended Allowedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-ajc3xc-meridian/search-ai-log.md

What search_ai_log does on Meridian

AI agents call search_ai_log to retrieve information from Meridian without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
limit integer — Default 50, capped at 500.
cursor integer — Offset into the ordered result set. Pass a prior response's next_cursor. Default 0.
actor_id string —
tenant_id string —
actor_kind string — One of: session, system, human, tool, model.
event_type string —
project_id string —
session_id string —
project_name string — Project name — an alternative to project_id; resolved to the id internally. project_id wins if both are given.
correlation_id string —
parent_event_id string —
since_occurred_at string — ISO-8601 UTC datetime, inclusive lower bound on occurred_at.

Parameters from the server's own tool schema.

Why search_ai_log is rated Low

Even though search_ai_log only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Risk signalsHigh parameter count (13 properties) · Bulk/mass operation — affects multiple targets

Questions about search_ai_log

What does the search_ai_log tool do? +

[MAINTENANCE] d26b9943 (R2-B) — Read-only: EXACT-MATCH scoped search over ai_log_events, bounded and cursor-paginated. Every filter is a plain SQL equality (session_id/tenant_id/correlation_id/parent_event_id/actor_kind/actor_id/event_type) or an inclusive occurred_at range (since_occurred_at/until_occurred_at) — there is no lexical (FTS) or semantic index anywhere in this codebase yet, so the response's index_status field always honestly reports 'exact_only', never a fabricated 'complete'/'resolving' state. Filters are AND-ed together (more filters only ever narrow the result). Ordered newest-recorded-first (recorded_at DESC, id DESC — same contract as list_events), with a stable integer OFFSET cursor (pass a prior response's next_cursor back in — same contract as get_project_notes_page). Returns {project_id, filters, events, total_count, has_more, next_cursor, index_status}. limit defaults to 50, capped at 500. It is categorised as a Read tool in the Meridian MCP Server, which means it retrieves data without modifying state.

What parameters does search_ai_log accept? +

search_ai_log accepts 12 parameters: limit, cursor, actor_id, tenant_id, actor_kind, event_type, project_id, session_id, project_name, correlation_id, parent_event_id, since_occurred_at. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on search_ai_log? +

Register the Meridian MCP server in PolicyLayer and add a rule for search_ai_log: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Meridian. Nothing to install.

What risk level is search_ai_log? +

search_ai_log is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_ai_log? +

Yes. Add a rate_limit block to the search_ai_log rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block search_ai_log completely? +

Set action: deny in the PolicyLayer policy for search_ai_log. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides search_ai_log? +

search_ai_log is provided by the Meridian MCP server (@meridianmcp/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Meridian, and thousands of servers like it.

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