Skip to main content
Glama

Dayze — Life in Days + Notable People

Life Context Pack

get_context_pack
Read-onlyIdempotent

Life Context Protocol (LCP) pack for the authenticated user: identity, pulse, who_matters, whats_next, memories. Pass include_relationships/include_memories false to omit those sections; location and money stay opt-in. Spec: https://dayze.com/docs/life-context ($0.20; API key required)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNoOptional focus hint echoed in the pack (e.g. places, travel, people)
queryNoOptional focus query for semantic memories
include_moneyNoInclude the private cashflow summary
include_tripsNoInclude recent/upcoming trips from completed travel history
include_placesNoInclude recent canonical places (venue-level, no GPS points)
include_locationNoInclude city/country label; never returns a precise address
include_memoriesNoInclude recent memories (default true). A query always enables focused memories.
include_relationshipsNoInclude who_matters (inner-circle, relationship health, reach-out). Default true.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNo
pulseYes
queryNo
tripsNoRecent trips when include_trips=true.
placesNoRecent canonical places when include_places=true.
identityYes
memoriesNo
protocolYesLife Context Protocol metadata.
whats_nextYes
who_mattersNo
preferred_toolYes

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already mark this as read-only, idempotent, and non-destructive. The description adds valuable behavioral context beyond that: it is for the authenticated user, requires an API key, costs $0.20, and specifies which sections are included by default or remain opt-in. This gives the agent a clear picture of side effects, auth needs, and cost.

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 dense sentences carry the core purpose, tunable flags, sensitive-section opt-ins, spec link, cost, and auth requirement. Every sentence earns its place and the most important content is front-loaded.

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?

Given the output schema exists and all parameters are optional and well-described in the input schema, the description covers the key invocation concerns: cost, authentication, default sections, and opt-in behavior. The main completeness gap is the lack of differentiation from get_life_context, which could matter in tool selection.

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 coverage is 100%, so baseline is 3; the schema already documents all eight parameters. The description reinforces the semantics of include_relationships, include_memories, location, and money, but does not add meaningful detail about focus, query, include_trips, or include_places. It neither hurts nor significantly improves on the schema.

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?

The description clearly identifies the resource as a Life Context Protocol pack for the authenticated user and lists its sections: identity, pulse, who_matters, whats_next, memories. However, it does not explicitly distinguish itself from the closely named sibling get_life_context, so a bit of differentiation is missing.

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

Usage Guidelines3/5

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

It gives useful usage direction: pass include_relationships/include_memories false to omit sections, and location/money are opt-in. It also notes the API key requirement and cost. But it never says when to choose this over sibling tools like get_life_context or notable_pack, leaving the selection logic implicit.

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

B3.2/5.0
Disambiguation3/5

Many tools have explicit 'prefer X' guidance and mostly target distinct resources, but get_money_between_people is literally an alias for get_person_transactions, get_context_pack and get_life_context overlap heavily, and upload_asset/upload_photo both upload and re-encode images. Detailed descriptions partially rescue it, but the agent still faces avoidable near-duplicates.

Naming Consistency4/5

The vast majority follow verb_noun snake_case conventions (get_, log_, update_, search_, delete_, add_, archive_, resolve_, etc.). Deviations like the notable_* family and verbose aliases such as get_money_between_people are internally consistent subdomain patterns rather than chaotic naming. No camelCase or mixed style conventions appear.

Tool Count1/5

At 71 tools this far exceeds the 50+ threshold for an extreme tool count. Each domain may have legitimate operations, but the sheer volume would make agent navigation and tool selection expensive. Many listing, search, and upload variants could be consolidated without losing functionality.

Completeness3/5

The set broadly covers calendar, food, people, inventory, money, travel, assets, photos, Gmail, memories, and notable-people lookup with mostly CRUD-style operations. Notable gaps include no delete_expense, no delete_person, and no direct food-diary listing/getter, so some lifecycles end in workarounds. Overall it is broad but not fully complete.