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Dayze — Life in Days + Notable People

Upload Asset

upload_asset

Upload image bytes to Dayze storage (WebP re-encode strips EXIF/AI metadata). Returns asset_id. For inventory item photos: pass entity_type=inventory, entity_id=inventory_id, role=photo, image_base64 from chat images. Or upload then attach_asset. ($0.15; API key required)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
roleNooriginal | cover | thumbnail | …
filenameNo
metadataNo
entity_idNo
mime_typeNo
asset_typeNophoto | receipt | certificate | document | thumbnail | …
descriptionNo
entity_typeNoinventory_item maps to inventory
image_base64No
parent_asset_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetNo
messageNo
asset_idNo
metadata_strippedNo

TDQS

A3.8/5.0
Behavior4/5

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

The description discloses meaningful behavioral traits beyond the annotations: WebP re-encoding strips EXIF/AI metadata, the tool returns an asset_id, and it costs $0.15 with an API key required. It could add more about side effects or failure modes, but the provided context is useful and consistent with the annotations.

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 compact and front-loaded with the core operation, then the metadata-warning behavior, return value, and a practical example. It is slightly dense, but every clause earns its place and there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 11-parameter tool with no required fields and low schema coverage, the description provides one strong use case plus cost and auth details, but it is not complete enough for general use. The relationship between url and image_base64, as well as the broader asset upload semantics, remains unclear.

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 only 27%, and the description compensates partially by explaining entity_type, entity_id, role, and image_base64 in the inventory photo workflow. However, it leaves many parameters undocumented in both the schema and description, such as url, filename, metadata, mime_type, asset_type, and parent_asset_id.

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 states the tool uploads image bytes to Dayze storage and returns an asset_id, so the basic purpose is unambiguous. It names attach_asset as a related sibling path, but it does not explicitly differentiate itself from upload_photo, leaving some sibling overlap unresolved.

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?

The description gives a concrete, ready-to-use recipe for inventory item photos ('pass entity_type=inventory, entity_id=inventory_id, role=photo, image_base64 from chat images') and points to attach_asset as an alternative flow. It does not explicitly state when to prefer upload_asset over upload_photo, so exclusions are incomplete.

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

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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.