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simplepractice_list_announcements

Read-only

List practice announcements posted to the Client Portal, using readAt to identify unread items.

Instructions

Announcements the practice has posted to the Client Portal. readAt is null on unread ones.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoResponse shape: "compact" (default) drops fields the response already carries elsewhere; "full" returns every field this server understands. compact returns the slim projection where one exists and strips image URLs elsewhere; "full" returns SimplePractice's whole records.
pageSizeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changedv0.4.1
    • addedInput schema / properties / view
      Added value: +{
      +  "description": "Response shape: \"compact\" (default) drops fields the response already carries elsewhere; \"full\" returns every field this server understands. compact returns the slim projection where one exists and strips image URLs elsewhere; \"full\" returns SimplePractice's whole records.",
      +  "enum": [
      +    "compact",
      +    "full"
      +  ],
      +  "type": "string"
      +}
  3. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

The readOnlyHint annotation already covers safety, and the description adds a useful data-model detail: readAt is null on unread announcements. However, it does not disclose ordering, pagination, or other behavioral traits beyond that field note.

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?

Two short sentences with no filler. The identifying resource information comes first, and the readAt clarification earns its place by adding useful field semantics.

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 zero-required-parameter read-only list tool, the description plus schema is sufficient for an agent to invoke it correctly. The readAt note helps interpret results, though a bit more output-shape detail would have made it fully complete.

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?

The schema fully documents the view parameter, and pageSize is largely self-explanatory from its name, default, and maximum. The description itself adds no parameter-level meaning, but the schema provides enough for correct invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource as announcements posted by the practice to the Client Portal, which is specific enough to tell it apart from sibling tools like list_documents and list_appointments. It does not explicitly state the verb 'list', but the tool name supplies that.

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 given about when to use this tool versus alternatives, nor are there any exclusions or preconditions. The intended use case is only implied by the resource name and the portal context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.