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update_node

Idempotent

Update a content node by its ID. Only provided fields are updated. Title and text are locale dicts (e.g. {"de": "Titel"}) — provided keys are merged, others preserved. custom_metadata keys are likewise merged into the existing metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoLocale-keyed body content (HTML) map, e.g. {"de": "<p>Inhalt</p>", "en": "<p>Content</p>"}.
titleNoLocale-keyed title map, e.g. {"de": "Titel", "en": "Title"}.
sourceNoSource URL for the node content.
node_idYes
score_boostNoBoost value for search ranking. Higher is better. Use null for no boost.
custom_metadataNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.2/5.0
Behavior4/5

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

Beyond what annotations provide (idempotentHint, destructiveHint), the description discloses valuable behavioral traits: partial updates ('Only provided fields are updated') and deep-merge semantics for locale dicts and custom_metadata. This adds context that the annotations do not cover. No contradiction with the annotations is present.

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 tightly written sentences, front-loaded with the main operation and resource, followed by the critical merge semantics in a compact paragraph. Every sentence earns its place with no redundancy.

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?

For a moderately complex update tool with 6 parameters, an output schema, and existing annotations, the description covers the essential behavior and the tricky merge rules. Minor omissions, such as error handling for a missing node_id or invalid locale keys, are not critical given the schema and output schema context.

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?

With only 67% schema description coverage, the description compensates by explaining the merge behavior for title and custom_metadata, and it clarifies that text follows the same locale-dict pattern. This adds meaningful semantic value over the raw schema properties.

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, resource, and selector: 'Update a content node by its ID.' This clearly distinguishes it from sibling tools like create_node (create) and read_node (read) without requiring the agent to inspect the 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 description implies the tool is for modifying an existing node, but it does not explicitly say when to prefer this over create_node or how it differs from update_prompt/update_tool. No exclusions or scenario guidance are provided, so the agent must infer the appropriate usage context.

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

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct resource or metric. The many get_top_* endpoints are differentiated by the specific dimension measured, and read_* / list_* / get_* verbs consistently separate detail retrieval from aggregation and paginated listings. Explicit distinctions like get_top_languages vs get_top_locales and get_top_interaction_sources vs get_top_clicked_urls remove ambiguity.

Naming Consistency5/5

Tool names follow a predictable verb_noun pattern: create_* for mutations that add, update_* for edits, list_* for paginated collections, read_* for detailed record access, and get_* for aggregate analytics. Even with 33 tools the naming convention is uniform and readable.

Tool Count2/5

33 tools exceeds the 25+ threshold for 'too many' and is heavy for a single server surface. While the analytics getters are individually focused, the set is larger than typical for an MCP server and could be consolidated or grouped more tightly.

Completeness3/5

Analytics coverage is thorough, and nodes/prompts have create/read/update lifecycles. However, there are no delete operations anywhere, and data sources and tools support update but not create or delete, leaving notable lifecycle gaps for administrative tasks.

Resources