Browse the agent-readiness rankings. Optionally filter by category slug.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max entries (default 25) | |
| offset | No | Entries to skip (default 0) | |
| category | No | Category slug, e.g. developer-tools |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / properties / offsetAdded value: +{
+ "description": "Entries to skip (default 0)",
+ "maximum": 9007199254740991,
+ "minimum": 0,
+ "type": "integer"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It implies a read-only operation ('browse') but does not disclose any behavioral traits such as pagination behavior, data freshness, rate limits, or what happens when no filter is applied. The description adds minimal transparency beyond the schema.
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 a single, front-loaded sentence that efficiently conveys the main purpose. It is concise with no wasted words, though it could include a bit more detail without becoming verbose.
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?
Given the tool has 3 parameters, no output schema, and no annotations, the description is too brief. It does not explain what the rankings contain, how to interpret the results, or how pagination works. The agent would need additional context to use the tool correctly, especially for constructing queries with limit/offset.
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?
Schema description coverage is 100%, so the baseline is 3. The description mentions the optional category filter, which adds value beyond the schema by confirming it's a filter. However, it does not explain the meaning of limit and offset or their interaction, so the description adds only marginal value over the schema.
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 clearly states the tool's purpose: 'Browse the agent-readiness rankings.' It uses a specific verb ('browse') and resource ('rankings'), and distinguishes itself from sibling tools like get_score or get_checks, which serve different functions.
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?
No guidance is provided on when to use this tool versus alternatives. The description does not mention any prerequisites, exclusions, or scenarios where another tool would be more appropriate. It lacks explicit usage guidelines.
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 well-distinguished, but discover_products and search_capabilities could be confused since both search across domains. The difference in query type (task intent vs. capability) is somewhat subtle. Overall, most tools have clear, separate purposes.
All tool names use a consistent verb_noun pattern (e.g., discover_products, get_checks, scan_domain). The naming is predictable and matches the server's domain of evaluating agent-ready properties.
With 11 tools, the server covers scanning, scoring, feedback, and search without being overly broad. Each tool has a distinct role, and the count is appropriate for the focused purpose of assessing agent readiness.
The tool set covers the full lifecycle: discover/scan domains, get scores and checks, apply skills, verify with challenges, submit feedback and disputes. There are no obvious missing operations for the stated domain.