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update_social_media_post

Update a published social media post by modifying its message, scheduled time, media, or tags across multiple platforms.

Instructions

Update a published social media post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoNew scheduled date (e.g. 2026-04-15)
tagsNoReplace the post's tag (label) IDs with this list. Use `listSocialMediaTags` to fetch existing IDs and `createSocialMediaTag` to add new ones.
timeNoNew scheduled time (e.g. 14:30)
mediaNoUpdated media for the post. Each entry is either a Simplified asset UUID or a fully qualified URL — see `CreatePostRequest.media` for resolution rules.
messageNoNew post message content
post_idYesID of the published post to update
timezoneNoTimezone for the scheduled date/time (e.g. Europe/Warsaw)
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It only states the mutation action (update) but does not describe the update semantics (partial vs full replace), authorization needs, or side effects. This is insufficient for a mutation tool.

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 a single sentence of 5 words, which is concise and front-loaded with the verb. However, it could include a bit more context without being verbose, but overall efficient.

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

Completeness2/5

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

Despite full schema coverage, the description lacks overall behavior context for a tool with 7 optional parameters. Without output schema or annotations, the agent is left unclear about update behavior (e.g., whether clearing fields, error conditions). The description is too sparse for the tool's complexity.

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 coverage is 100%, so the baseline is 3. The description adds no parameter meaning beyond what the schema already provides. The schema itself has good descriptions for each parameter, so the description does not need to compensate.

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 'Update a published social media post' clearly states the verb (update) and resource (published social media post), distinguishing it from siblings like 'create_social_media_post' and 'update_social_media_draft'.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, nor any prerequisites like post existence or permissions. The description does not mention exclusion criteria or when not to use.

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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