Skip to main content
Glama

get_events

Read-onlyIdempotent

What changed since a cursor, including DELETES, which a list read cannot show. Returns {seq, entity, id, action}. Pass the last seq back as since on the next call to receive only entries after it; omit since for a first sync. seq is a global counter: gaps in your feed are other accounts' events, not lost data. Judge completeness from has_more, not seq.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sinceNoCursor from the previous call's last seq. Omit for a first sync.
entitiesNoOptional comma-separated filter, e.g. 'workout,meal'.

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint and idempotentHint annotations, the description explains key behaviors: returns deletes, uses a global seq counter where gaps are other accounts' events, and instructs to judge completeness from has_more not seq. This adds essential interpretation context.

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

Conciseness5/5

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

Three sentences deliver purpose, return shape, usage, and critical caveats without wasted words. The information is front-loaded and every sentence earns its place.

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?

Given the tool's cursor-based pagination and the lack of an output schema, the description fully covers return values, pagination flow, and how to interpret gaps and completeness. It leaves no major usage questions unanswered.

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?

The description adds significant meaning to the `since` parameter, explaining exactly how to use it as a cursor. With schema coverage at 67%, the description compensates for the unexplained `limit` parameter by emphasizing the cursor mechanism and has_more, though it doesn't detail entities or limit behavior.

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?

The description clearly states the tool's function: it reports changes since a cursor, explicitly including deletes, which distinguishes it from list reads. The specific verb 'changed' and resource 'events' make the purpose unmistakable.

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?

It provides explicit usage instructions: pass the last seq as `since` for subsequent calls, omit for first sync. It also explains when to prefer this over a list read (to see deletes), though it doesn't name a specific sibling alternative.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (meals, workouts, routines, body metrics, etc.). A few pairs like get_progress and get_muscle_recovery overlap in data but differ in usage, and the AI tools are separated by input type. Overall, an agent can reliably select the right tool.

Naming Consistency4/5

Tool names predominantly follow a verb_noun snake_case pattern (get_, log_, update_, delete_, search_, list_). The ai_* prefix is consistent but includes noun-like names (ai_meal_plan, ai_photo_macros) that deviate slightly from verb-first convention. Still predictable and readable.

Tool Count3/5

With 36 tools, the server exceeds the typical 'heavy' threshold, but the scope is broad covering meals, workouts, routines, metrics, AI features, and data sync. Each tool serves a distinct capability, so the count is justified though on the higher end.

Completeness4/5

The server provides solid lifecycle coverage for core resources: meals (create/read/update/delete), workouts (log/get/delete, set updates), body metrics (get/log with profile upsert), routines (list/get/instantiate), and exercise lookup (search/resolve/list). Minor gaps exist for updating/deleting cardio and water entries, but they are not critical.

Resources