recently_changed_packagesChilean open data catalogue (datos.gob.cl CKAN) — datasets most recently created or updated, paginated by limit/offset. Use to monitor Chilean government open data activity.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| offset | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds behavioral details beyond the annotations by specifying pagination via limit/offset and the ordering by creation/update recency. Annotations already cover read-only, open-world, idempotent, and non-destructive characteristics, but the description supplements with useful operational context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long, with the core purpose and context front-loaded, followed by a concise usage note. Every phrase adds value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple with only two optional parameters and an output schema, so the description covers the essential aspects: the data source, what is returned (recently changed datasets), pagination, and the intended monitoring use case. It does not need to describe return values because an output schema is present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 0%, so the description must compensate. It mentions 'paginated by limit/offset,' which indicates the parameters are for pagination, but it does not explain their individual meaning, defaults, or behavior when omitted. The examples in the schema provide some structure, but this is a partial compensation at best.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool lists datasets most recently created or updated, identifying the resource (datasets) and the specific action (listing recent changes). It also names the source (Chilean open data catalogue/CKAN) and includes a usage purpose, distinguishing it from sibling tools like package_list or recent_changes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Use to monitor Chilean government open data activity,' giving a clear when-to-use context. It does not mention alternatives or exclusions, but the intended scenario is evident.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Tools are generally distinct in purpose, but some overlap exists between ask_pipeworx, ask_pipeworx_grounded, and deep_research. Descriptions clearly differentiate them, but an agent might still need to carefully choose.
Most tool names follow a consistent snake_case pattern with clear prefixes (e.g., pipeworx_*, polymarket_*). A few names like compare_entities and validate_claim break the pattern, but overall it is predictable.
With 40 tools, the server is overly large for a single coherent set. Many tools are meta or auxiliary, but the count exceeds the 'too many' threshold, making it hard for agents to navigate.
The tool set covers data retrieval, Chilean open data, Polymarket, memory, and monitoring comprehensively. Minor gaps exist (e.g., no direct trading for Polymarket), but the surface is complete for the stated purpose.