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Connect POS sales telemetry

connect_pos_sales_telemetry

Create a POS aggregate-telemetry scaffold with sales metrics, revenue buckets, privacy policy, adapter source, and PCI/PII safety notes. Ensures secure structured sales telemetry setup.

Instructions

Create a POS aggregate-telemetry scaffold with sales metrics, revenue buckets, privacy policy, adapter source, and PCI/PII safety notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoGenerated baseCOMP name.pos_sales_telemetry
activeNo
providerNosquare
adapter_urlNohttp://127.0.0.1:9068/pos
parent_pathNoParent COMP for the POS scaffold./project1
store_labelNovenue_bar
adapter_modeNorest_json
metric_countNo
aggregation_windowNo5m
revenue_bucket_countNo
Behavior3/5

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

Annotations indicate a write operation (readOnlyHint false) that is non-destructive and open-world. The description adds context by mentioning privacy policy and PCI/PII safety notes, which suggests these are generated or considered. However, it does not explain what actual filesystem or project changes occur, whether an adapter source is live-configured, or what the scaffold looks like after creation. It lacks detail on side effects beyond the creation act.

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 a single sentence of about 20 words, front-loaded with the action and resource. It contains no filler or redundant information, making it highly 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?

The description gives a high-level summary but is insufficient for a 10-parameter tool with no output schema. It does not specify expected output, success criteria, how the scaffold integrates into the project, or what happens after creation. The term 'scaffold' is vague and could mislead an agent about the end state.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 10 parameters and only 20% schema description coverage, the description must compensate but does not. It loosely maps 'sales metrics' and 'revenue buckets' to metric_count and revenue_bucket_count, and 'adapter source' to adapter_url/provider, but provides no per-parameter meaning, examples, or constraints. Parameters like aggregation_window, store_label, and metric_count remain unexplained.

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 clearly states the tool 'Create a POS aggregate-telemetry scaffold' and enumerates specific included components (sales metrics, revenue buckets, privacy policy, adapter source, PCI/PII safety notes). This gives a specific verb and resource. However, the title says 'Connect' while the description says 'Create', introducing a slight ambiguity about whether it actually connects a POS or merely scaffolds one.

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 on when to use this tool versus alternatives. There is no mention of use cases, prerequisites, when not to use it, or how it compares to sibling tools like connect_udp_telemetry_bridge or create_data_source. The description only states what it does, not when to do it.

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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