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Glama

sync_notion_watchlist

Sync Notion Watchlist with Polymarket and Ollama to automate AI research, market discovery, and trade approvals from your Notion entries.

Instructions

Bidirectional sync between Notion Watchlist and Polymarket/Ollama. Call this when user says "sync". Reads your Notion Watchlist database and processes changes:

  1. 🔬 Research checkbox: If checked (true), runs Ollama AI research, writes report, then UNCHECKS the box

  2. Keyword → Market: If a row has a keyword in the Market column but no Market ID, searches Polymarket and populates all data

  3. Approval action: If Human Approval = "Approved", generates an execution plan

  4. Re-research: If Human Approval = "Needs More Research", runs research again with iteration+1

  5. Price refresh: Updates all prices to latest

Example: User types "Trump" in Notion → runs sync → system finds best matching Polymarket market and fills in all data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_researchNoWhether to run Ollama research for 'In Progress' rows
research_database_idNoNotion Research Reports database ID (for writing research pages)
watchlist_database_idYesNotion Watchlist database ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden. It lists concrete side effects: running research, writing reports, unchecking the research checkbox, searching Polymarket, populating data, generating execution plans, and refreshing prices. It does not discuss failure modes, authorization, or idempotency, but it is fairly transparent about the tool's mutating 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?

The description is front-loaded with purpose and trigger, then uses a numbered list to organize five behaviors. It is somewhat long, but the extra detail is substantive for a multi-step sync tool and the example reinforces usage.

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 complex tool with no annotations and no output schema, the description covers the main operations, trigger, and a realistic example. It does not describe the return value or what the user sees after sync completes, but an agent has enough information to decide when to call it and what it will do.

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?

Schema description coverage is 100%, so the baseline is 3 and the schema already documents each parameter. The description adds workflow context, especially around the research step, but does not clarify the relationship between the run_research parameter and the Notion research checkbox described in the first workflow item.

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: 'Bidirectional sync between Notion Watchlist and Polymarket/Ollama' with a clear trigger ('Call this when user says sync'). It describes several concrete behaviors, but does not explicitly differentiate itself from sibling tools like research_with_ollama or generate_execution_plan, which it orchestrates.

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

Usage Guidelines4/5

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

Provides explicit when-to-use guidance: 'Call this when user says "sync"' plus a concrete example. It does not mention when not to use it or when a sibling tool would be more appropriate, but the trigger and high-level workflow are clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.