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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, tone and entry mix, podcast format (two-host show or single voice), voice accent and whether the podcast is auto-paused, stated interests and no-go topics, the profile the system has learned about them, the per-topic preferences built from their feedback (affinity, muted, followed themes) and the specific stories they pinned with "follow" (every development of those gets reported). This is the full picture of their news filter — read it before changing anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered and the description doesn't need to restate it. The description adds genuine behavioral context by spelling out the scope of data returned (schedule, format, learned profile, per-topic preferences, pinned stories), which goes beyond what the annotations convey.

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

Conciseness3/5

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

The main verb and resource are front-loaded, which is good, but the enumeration of data fields runs on as a single ~80-word sentence that is list-heavy and hard to scan. Every element is arguably informative, yet the structure is dense rather than tight.

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?

There is no output schema, so the description carries the burden of telling the agent what comes back, and it does so thoroughly by enumerating the config dimensions. A brief note on the response shape or size would make it fully complete.

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 tool takes zero parameters, so per the rubric the baseline is 4. There is nothing further the description could meaningfully add on parameter semantics.

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 ('Read') plus the precise resource (the information diet, i.e. the full personalization/news-filter config), then enumerates the exact fields it covers. Combined with the closing 'read it before changing anything', an agent can distinguish this from update_information_diet without opening either schema.

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?

The phrase 'read it before changing anything' implies this is a prerequisite read before mutations, which is useful implied ordering. However, it never names update_information_diet or other siblings as the alternative, nor states exclusions, so the guidance stays at the implied level.

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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