capture_research_finding
[SUPPORT] Inline capture for web/paper research during planning: save a finding from a URL as an addressable note with the source link, optionally linked to a decision. A research-shaped wrapper over save_finding — arXiv URLs are tagged source_type=arxiv automatically, everything else as web. Tur...
This record as markdown: /tools/io-github-ajc3xc-meridian/capture-research-finding.md
What capture_research_finding does on Meridian
AI agents use capture_research_finding to create or update resources in Meridian, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Meridian environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | Yes | Source URL of the web page or paper. |
summary | string | Yes | Your summary of the finding (markdown). |
project_id | string | — | |
project_name | string | — | Project name — an alternative to project_id; resolved to the id internally. project_id wins if both are given. |
related_decision_id | string | — | Optional pinned-decision id to link the finding to. |
Parameters from the server's own tool schema.
Why capture_research_finding is rated Medium
The tool writes (creates) a new note/artifact by saving a research finding into persistent storage (hosted service or local database). It does not delete, execute code, or involve finances. The blast radius of misuse is low — worst case it pollutes the note/artifact store with spurious entries.
From the tool's definition 'save a finding from a URL as an addressable note with the source link' and 'Turns web-search results into durable Meridian artifacts' — creates/persists new records in the database
Risk signalsAccepts URL/endpoint input (url) · Bulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs capture_research_finding safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Meridian, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For capture_research_finding, this is the rule to start with:
capture_research_finding stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Meridian, apply this rule, and every capture_research_finding call is checked against it from then on.
Questions about capture_research_finding
[SUPPORT] Inline capture for web/paper research during planning: save a finding from a URL as an addressable note with the source link, optionally linked to a decision. A research-shaped wrapper over save_finding — arXiv URLs are tagged source_type=arxiv automatically, everything else as web. Turns web-search results into durable Meridian artifacts instead of evaporating. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata are sent to and stored in Meridian's service; self-hosted deployments keep them in the configured local SQLite/Postgres database. This data is visible in the dashboard/API and later project context or handoffs. Delete individual tasks, notes, or decisions where supported, or delete the project/account using the documented controls. Do not include secrets. It is categorised as a Write tool in the Meridian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
capture_research_finding accepts 5 parameters: url, summary, project_id, project_name, related_decision_id. Required: url, summary. The full parameter table on this page comes from the server's own tool schema.
Register the Meridian MCP server in PolicyLayer and add a rule for capture_research_finding: 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.
capture_research_finding is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the capture_research_finding 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.
Set action: deny in the PolicyLayer policy for capture_research_finding. 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.
capture_research_finding 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.
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