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Dayze — Life in Days + Notable People

Read Gmail Message (read-only)

read_gmail_message
Read-onlyIdempotent

Read one Gmail message by id from search_gmail. Returns subject, from, date, snippet, and plain-text body (truncated). Reuses the Integrations hub Gmail connection. Read-only — cannot send, archive, or delete. Never invent body text. If Gmail is not connected, connect at /integrations. Requires API key or OAuth with scope context. Share tokens cannot call this tool. ($0.10; API key required)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoAlias for message_id
message_idYesGmail message id from search_gmail

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description reinforces them while adding meaningful behavior: body is truncated, body text must never be invented, it reuses the Integrations hub connection, requires API key/OAuth, share tokens are blocked, and there is a cost. This goes well beyond 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 core purpose is front-loaded in the first sentence, and the rest is dense but relevant: return contents, connection reuse, read-only scope, hallucination guard, connection fallback, auth, restriction, and cost. A few details could be merged, but no sentence is wasted.

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?

For a single-message read tool with rich annotations and an output schema, the description covers the essential operational context: how to obtain the id, what fields are returned, truncation behavior, auth requirements, connection setup, access restrictions, cost, and the critical guardrail against inventing body text. Nothing required for correct invocation is missing.

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?

Schema description coverage is 100% and both parameters are documented, so the baseline is 3. The description adds value by specifying that message_id comes from search_gmail and reinforcing that id is an alias, which helps the agent understand the relationship between the two parameters.

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?

States a specific verb and resource: 'Read one Gmail message by id from search_gmail.' It clearly differentiates from search_gmail by being the follow-up read step and lists the exact fields returned (subject, from, date, snippet, plain-text body).

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

Usage Guidelines5/5

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

Explicitly ties usage to search_gmail: ids come from that tool. It also gives clear exclusions ('cannot send, archive, or delete'), notes share tokens cannot call it, and tells the agent what to do if Gmail is not connected. This gives strong when-to-use and when-not-to-use guidance.

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

B3.3/5.0
Disambiguation3/5

Most tools target distinct resources, but get_context_pack and get_life_context overlap heavily, and get_money_between_people is an intentional duplicate alias of get_person_transactions. The rest are mostly clear due to explicit descriptions.

Naming Consistency4/5

Naming is predominantly verb_noun snake_case with clear families (get_*, log_*, update_*, search_*, notable_*). Minor inconsistencies: create_person breaks the add_inventory_* pattern, and one-off verbs like record_, attach_, merge_ are not part of a uniform scheme.

Tool Count1/5

With 64 tools, this far exceeds the 50+ extreme threshold. The broad personal-life domain justifies many tools, but the count creates significant selection overhead and feels bloated, especially with redundant aliases and overlapping context pack variants.

Completeness4/5

The set covers inventory, CRM, events, food, expenses, travel, places, photos, Gmail, and notable-people lookup with strong read/write/search coverage. Minor gaps include no delete operations for events/people/food (only archive/update) and no explicit place creation.