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Read the information diet

get_information_diet
Read-only

Read everything that shapes what reaches this person: delivery schedule, length, technicality, depth, stance and tone, stated interests and no-go topics, the profile the system has learned about them, and the per-topic preferences built from their feedback (affinity, muted, followed). This is the full picture of their news filter — read it before changing anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, which the description confirms via 'Read everything'. The description adds value by detailing the returned content (topics, preferences, learned profile, etc.), which is not in the annotations. However, it does not describe the return format or structure (e.g., whether it's a flat object or nested), and no output schema exists. The description is transparent but slightly incomplete for a read operation with no output schema.

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?

The description is two sentences: the first sentence lists the major components in a clear, comma-separated manner; the second sentence reinforces the purpose with an imperative. Every word adds value, and the key action ('read') is front-loaded. No fluff.

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 tool has no output schema, the description must convey the return value. It lists a comprehensive set of data points (schedule, length, technicality, depth, stance, tone, interests, no-go topics, learned profile, per-topic preferences). However, it does not specify the structure (e.g., whether it's a single object or a list of items) or provide any examples. The sibling set is large, but the description sufficiently distinguishes this as the full read. Slightly incomplete for a tool with such a broad return scope.

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?

There are no parameters (0 params, 100% schema coverage). The description correctly adds no parameter-specific information because none are needed. Baseline for zero-parameter tools is 4, and the description does not detract from that.

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 verb 'Read' and the resource 'everything that shapes what reaches this person', listing multiple specific components (delivery schedule, length, technicality, etc.). It distinguishes from sibling tools like 'update_information_diet' (write counterpart) and other read tools (get_account, get_briefing) by emphasizing it provides the full picture of the news filter.

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 explicitly advises 'read it before changing anything', signaling the tool should be used as a prerequisite to mutation tools like 'update_information_diet'. While it doesn't enumerate alternatives or when not to use, the context and sibling names imply the specialized read tools (e.g., get_account, get_briefing) cover sub-parts. The guidance is clear and actionable.

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

A4.2/5.0
Disambiguation4/5

Most tools target distinct operations (e.g., add_feed vs. remove_feed, get_source vs. list_sources). However, there is some ambiguity between correct_briefing and tune_topic (both adjust content based on user feedback) and between request_deep_dive and correct_briefing (both can trigger deeper investigation). The descriptions help, but an agent could misselect.

Naming Consistency5/5

Tool names follow a very consistent verb_noun pattern (e.g., add_feed, create_source, generate_briefing, list_sources). All use snake_case with clear, descriptive verbs and nouns. No mixing of conventions.

Tool Count4/5

With 27 tools, the server covers a rich domain of news feed management, briefing generation, and user preferences. This is slightly above the typical sweet spot but still reasonable given the complexity. Each tool serves a distinct purpose; the count is justified.

Completeness5/5

The tool set provides full lifecycle coverage: sources can be created, read, updated, and deleted; feeds and searches can be added and removed; briefings can be generated, listed, read, rated, and corrected; deep dives and read-later items are supported. There are no obvious gaps—the domain is thoroughly covered.