Skip to main content
Glama

zte_run_page

Read-only

Fetches and parses router configuration pages from ZTE ZXHN F680 GPON routers, supporting pages for port forwarding, DMZ, DHCP, WiFi, firewall, and device status. Choose between raw HTML or parsed output.

Instructions

Obtiene y parsea cualquier pagina del router ZTE.

Args: page_name: Nombre de la pagina (ej: 'app_virtual_conf_t.gch'). raw: Si True, devuelve HTML crudo. Si False, parsea Transfer_meaning.

Paginas conocidas: - app_virtual_conf_t.gch (port forwarding) - app_dmz_conf_t.gch (DMZ) - app_upnp_conf_t.gch (UPnP) - net_dhcp_dynamic_t.gch (DHCP leases) - status_dev_info_t.gch (device info) - IPv46_status_wan_if_t.gch (WAN status) - net_wlanm_conf1_t.gch (WiFi 2.4GHz) - net_wlanm_conf2_t.gch (WiFi 5GHz) - sec_firewall_conf_t.gch (firewall)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_nameYes
rawNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations (readOnlyHint=true, destructiveHint=false) are consistent. The description adds value by explaining the raw parameter's effect and that it parses 'Transfer_meaning' when raw=False. No hidden behaviors are omitted.

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 concise and well-structured: first sentence states purpose, second explains parameters, followed by a clear list of known pages. Every sentence adds value with no redundancy.

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?

Given the presence of an output schema (not shown), the description does not need to detail return values. It adequately covers purpose, parameters, and known pages, leaving output details to the schema.

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

Parameters5/5

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

The input schema has no descriptions (0% coverage). The description compensates fully by explaining page_name with examples, and raw with its boolean behavior, adding semantic meaning beyond the schema.

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 clearly states the tool's purpose: 'Obtiene y parsea cualquier pagina del router ZTE' (Gets and parses any page of the ZTE router). It distinguishes itself from sibling tools by being generic, while siblings handle specific features like port forwarding or DMZ.

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

Usage Guidelines4/5

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

The description provides a list of known pages, indicating suitable contexts. However, it does not explicitly state when to prefer this generic tool over specific siblings, which would improve guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Picaresco/MCP-ZTE-F680'

If you have feedback or need assistance with the MCP directory API, please join our Discord server